├── environment.yml ├── csse_covid_19_data ├── csse_covid_19_time_series │ └── README.md ├── csse_covid_19_daily_reports │ ├── 01-26-2020.csv │ ├── 01-27-2020.csv │ ├── 01-30-2020.csv │ ├── 01-31-2020.csv │ ├── 02-02-2020.csv │ ├── 02-03-2020.csv │ ├── 02-04-2020.csv │ ├── 02-05-2020.csv │ ├── 02-08-2020.csv │ ├── 02-09-2020.csv │ ├── 02-12-2020.csv │ ├── 02-14-2020.csv │ ├── 02-15-2020.csv │ ├── 02-13-2020.csv │ ├── 02-19-2020.csv │ ├── 02-20-2020.csv │ ├── 02-18-2020.csv │ ├── 02-21-2020.csv │ ├── 02-26-2020.csv │ ├── 02-27-2020.csv │ ├── 03-01-2020.csv │ ├── 03-04-2020.csv │ ├── 03-10-2020.csv │ ├── 03-06-2020.csv │ ├── 03-11-2020.csv │ ├── 03-07-2020.csv │ ├── 03-16-2020.csv │ └── 03-17-2020.csv └── README.md ├── LICENSE ├── .gitignore └── README.md /environment.yml: -------------------------------------------------------------------------------- 1 | name: covid_19_eda 2 | channels: 3 | - conda-forge 4 | - defaults 5 | - anaconda 6 | dependencies: 7 | - python=3.6 8 | - jupyter=1.0.0 9 | - matplotlib=3.1.1 10 | - pandas=0.25.1 11 | - scipy=1.3.1 12 | - seaborn=0.9.0 13 | - altair=4.1.0 14 | - bokeh==2.0.1 15 | - vega 16 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_time_series/README.md: -------------------------------------------------------------------------------- 1 | [Upcoming changes in time series tables (3/22)](https://github.com/CSSEGISandData/COVID-19/issues/1250) 2 | 3 | Note: some records may look incomplete or inconsistent with previous days due to the modification from the data source. 4 | 5 | ---DEPRICATED WARNING---
6 | The files below will no longer be updated. With the release of the new data structure, we are updating our time series tables to reflect these changes. Please reference time_series_covid19_confirmed_global.csv and time_series_covid19_deaths_global.csv for the latest time series data.

7 | time_series_19-covid-Confirmed.csv
8 | time_series_19-covid-Deaths.csv
9 | time_series_19-covid-Recovered.csv 10 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 Hugo Bowne-Anderson 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/01-26-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,1/26/20 16:00,1058,52,42 3 | Guangdong,Mainland China,1/26/20 16:00,111,,2 4 | Zhejiang,Mainland China,1/26/20 16:00,104,,1 5 | Henan,Mainland China,1/26/20 16:00,83,1, 6 | Chongqing,Mainland China,1/26/20 16:00,75,, 7 | Hunan,Mainland China,1/26/20 16:00,69,, 8 | Beijing,Mainland China,1/26/20 16:00,68,,2 9 | Anhui,Mainland China,1/26/20 16:00,60,, 10 | Shandong,Mainland China,1/26/20 16:00,46,, 11 | Sichuan,Mainland China,1/26/20 16:00,44,, 12 | Shanghai,Mainland China,1/26/20 16:00,40,1,1 13 | Guangxi,Mainland China,1/26/20 16:00,36,, 14 | Jiangxi,Mainland China,1/26/20 16:00,36,, 15 | Fujian,Mainland China,1/26/20 16:00,35,, 16 | Jiangsu,Mainland China,1/26/20 16:00,33,,1 17 | Hainan,Mainland China,1/26/20 16:00,22,, 18 | Shaanxi,Mainland China,1/26/20 16:00,22,, 19 | Liaoning,Mainland China,1/26/20 16:00,21,, 20 | Yunnan,Mainland China,1/26/20 16:00,16,, 21 | Heilongjiang,Mainland China,1/26/20 16:00,15,1, 22 | Tianjin,Mainland China,1/26/20 16:00,14,, 23 | Hebei,Mainland China,1/26/20 16:00,13,1, 24 | Shanxi,Mainland China,1/26/20 16:00,9,, 25 | Hong Kong,Hong Kong,1/26/20 16:00,8,, 26 | Inner Mongolia,Mainland China,1/26/20 16:00,7,, 27 | Gansu,Mainland China,1/26/20 16:00,7,, 28 | Guizhou,Mainland China,1/26/20 16:00,5,, 29 | Macau,Macau,1/26/20 16:00,5,, 30 | Ningxia,Mainland China,1/26/20 16:00,4,, 31 | Jilin,Mainland China,1/26/20 16:00,4,, 32 | Taiwan,Taiwan,1/26/20 16:00,4,, 33 | Xinjiang,Mainland China,1/26/20 16:00,4,, 34 | Qinghai,Mainland China,1/26/20 16:00,1,, 35 | Washington,US,1/26/20 16:00,1,, 36 | Illinois,US,1/26/20 16:00,1,, 37 | California,US,1/26/20 16:00,2,, 38 | Arizona,US,1/26/20 16:00,1,, 39 | ,Japan,1/26/20 16:00,4,,1 40 | ,Thailand,1/26/20 16:00,8,,2 41 | ,South Korea,1/26/20 16:00,3,, 42 | ,Singapore,1/26/20 16:00,4,, 43 | ,Vietnam,1/26/20 16:00,2,, 44 | ,France,1/26/20 16:00,3,, 45 | ,Australia,1/26/20 16:00,4,, 46 | ,Nepal,1/26/20 16:00,1,, 47 | ,Malaysia,1/26/20 16:00,4,, 48 | Ontario,Canada,1/26/20 16:00,1,, -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/01-27-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,1/27/20 23:59,1423,76,45 3 | Guangdong,Mainland China,1/27/20 23:59,151,,4 4 | Zhejiang,Mainland China,1/27/20 23:59,128,,1 5 | Henan,Mainland China,1/27/20 23:59,128,1, 6 | Chongqing,Mainland China,1/27/20 23:59,110,, 7 | Hunan,Mainland China,1/27/20 23:59,100,, 8 | Beijing,Mainland China,1/27/20 23:59,80,1,2 9 | Shandong,Mainland China,1/27/20 23:59,75,, 10 | Jiangxi,Mainland China,1/27/20 23:59,72,,2 11 | Anhui,Mainland China,1/27/20 23:59,70,, 12 | Sichuan,Mainland China,1/27/20 23:59,69,, 13 | Fujian,Mainland China,1/27/20 23:59,59,, 14 | Shanghai,Mainland China,1/27/20 23:59,53,1,3 15 | Jiangsu,Mainland China,1/27/20 23:59,47,,1 16 | Guangxi,Mainland China,1/27/20 23:59,46,, 17 | Shaanxi,Mainland China,1/27/20 23:59,35,, 18 | Hainan,Mainland China,1/27/20 23:59,33,1, 19 | Liaoning,Mainland China,1/27/20 23:59,27,, 20 | Yunnan,Mainland China,1/27/20 23:59,26,, 21 | Tianjin,Mainland China,1/27/20 23:59,23,, 22 | Heilongjiang,Mainland China,1/27/20 23:59,21,1, 23 | Hebei,Mainland China,1/27/20 23:59,18,1, 24 | Gansu,Mainland China,1/27/20 23:59,14,, 25 | Shanxi,Mainland China,1/27/20 23:59,13,, 26 | Inner Mongolia,Mainland China,1/27/20 23:59,11,, 27 | Hong Kong,Hong Kong,1/27/20 23:59,8,, 28 | Guizhou,Mainland China,1/27/20 23:59,7,, 29 | Ningxia,Mainland China,1/27/20 23:59,7,, 30 | Jilin,Mainland China,1/27/20 23:59,6,, 31 | Macau,Macau,1/27/20 23:59,6,, 32 | Qinghai,Mainland China,1/27/20 23:59,6,, 33 | Taiwan,Taiwan,1/27/20 23:59,5,, 34 | Xinjiang,Mainland China,1/27/20 23:59,5,, 35 | Washington,US,1/27/20 23:59,1,, 36 | Illinois,US,1/27/20 23:59,1,, 37 | California,US,1/27/20 23:59,2,, 38 | Arizona,US,1/27/20 23:59,1,, 39 | ,Japan,1/27/20 23:59,4,,1 40 | ,Thailand,1/27/20 23:59,8,,2 41 | ,South Korea,1/27/20 23:59,4,, 42 | ,Singapore,1/27/20 23:59,5,, 43 | ,Vietnam,1/27/20 23:59,2,, 44 | ,France,1/27/20 23:59,3,, 45 | ,Nepal,1/27/20 23:59,1,, 46 | ,Malaysia,1/27/20 23:59,4,, 47 | Ontario,Canada,1/27/20 23:59,1,, 48 | ,Cambodia,1/27/20 23:59,1,, 49 | ,Sri Lanka,1/27/20 23:59,1,, 50 | ,Ivory Coast,1/27/20 23:59,1,, 51 | New South Wales,Australia,1/27/20 23:59,4,, 52 | Victoria,Australia,1/27/20 23:59,1,, -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/01-30-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,1/30/20 16:00,4903,162,90 3 | Zhejiang,Mainland China,1/30/20 16:00,428,,4 4 | Guangdong,Mainland China,1/30/20 16:00,354,,10 5 | Henan,Mainland China,1/30/20 16:00,278,2,2 6 | Hunan,Mainland China,1/30/20 16:00,277,,2 7 | Anhui,Mainland China,1/30/20 16:00,200,,2 8 | Chongqing,Mainland China,1/30/20 16:00,182,,1 9 | Jiangxi,Mainland China,1/30/20 16:00,162,,5 10 | Shandong,Mainland China,1/30/20 16:00,158,,1 11 | Sichuan,Mainland China,1/30/20 16:00,142,1,1 12 | Jiangsu,Mainland China,1/30/20 16:00,129,,1 13 | Beijing,Mainland China,1/30/20 16:00,114,1,4 14 | Shanghai,Mainland China,1/30/20 16:00,112,1,5 15 | Fujian,Mainland China,1/30/20 16:00,101,, 16 | Guangxi,Mainland China,1/30/20 16:00,78,,2 17 | Yunnan,Mainland China,1/30/20 16:00,70,, 18 | Hebei,Mainland China,1/30/20 16:00,65,1, 19 | Shaanxi,Mainland China,1/30/20 16:00,63,, 20 | Hainan,Mainland China,1/30/20 16:00,46,1,1 21 | Heilongjiang,Mainland China,1/30/20 16:00,44,2, 22 | Liaoning,Mainland China,1/30/20 16:00,41,,1 23 | Shanxi,Mainland China,1/30/20 16:00,35,,1 24 | Tianjin,Mainland China,1/30/20 16:00,31,, 25 | Gansu,Mainland China,1/30/20 16:00,26,, 26 | Inner Mongolia,Mainland China,1/30/20 16:00,19,, 27 | Ningxia,Mainland China,1/30/20 16:00,17,, 28 | Jilin,Mainland China,1/30/20 16:00,14,,1 29 | Xinjiang,Mainland China,1/30/20 16:00,14,, 30 | Guizhou,Mainland China,1/30/20 16:00,12,,1 31 | Hong Kong,Hong Kong,1/30/20 16:00,10,, 32 | Taiwan,Taiwan,1/30/20 16:00,9,, 33 | Qinghai,Mainland China,1/30/20 16:00,8,, 34 | Macau,Macau,1/30/20 16:00,7,, 35 | Tibet,Mainland China,1/30/20 16:00,1,, 36 | Washington,US,1/30/20 16:00,1,, 37 | Illinois,US,1/30/20 16:00,1,, 38 | California,US,1/30/20 16:00,2,, 39 | Arizona,US,1/30/20 16:00,1,, 40 | ,Japan,1/30/20 16:00,11,,1 41 | ,Thailand,1/30/20 16:00,14,,5 42 | ,South Korea,1/30/20 16:00,4,, 43 | ,Singapore,1/30/20 16:00,10,, 44 | ,Vietnam,1/30/20 16:00,2,, 45 | ,France,1/30/20 16:00,5,, 46 | ,Nepal,1/30/20 16:00,1,, 47 | ,Malaysia,1/30/20 16:00,8,, 48 | Ontario,Canada,1/30/20 16:00,2,, 49 | British Columbia,Canada,1/30/20 16:00,1,, 50 | ,Cambodia,1/30/20 16:00,1,, 51 | ,Sri Lanka,1/30/20 16:00,1,, 52 | New South Wales,Australia,1/30/20 16:00,4,,2 53 | Victoria,Australia,1/30/20 16:00,2,, 54 | Queensland,Australia,1/30/20 16:00,3,, 55 | Bavaria,Germany,1/30/20 16:00,4,, 56 | ,Finland,1/30/20 16:00,1,, 57 | ,United Arab Emirates,1/30/20 16:00,4,, 58 | ,Philippines,1/30/20 16:00,1,, 59 | ,India,1/30/20 16:00,1,, -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/01-31-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,1/31/2020 23:59,5806,204,141 3 | Zhejiang,Mainland China,1/31/2020 23:59,538,,14 4 | Guangdong,Mainland China,1/31/2020 23:59,436,,11 5 | Henan,Mainland China,1/31/2020 23:59,352,2,3 6 | Hunan,Mainland China,1/31/2020 23:59,332,,2 7 | Jiangxi,Mainland China,1/31/2020 23:59,240,,7 8 | Anhui,Mainland China,1/31/2020 23:59,237,,3 9 | Chongqing,Mainland China,1/31/2020 23:59,211,,1 10 | Shandong,Mainland China,1/31/2020 23:59,184,,2 11 | Sichuan,Mainland China,1/31/2020 23:59,177,1,1 12 | Jiangsu,Mainland China,1/31/2020 23:59,168,,5 13 | Beijing,Mainland China,1/31/2020 23:59,139,1,5 14 | Shanghai,Mainland China,1/31/2020 23:59,135,1,9 15 | Fujian,Mainland China,1/31/2020 23:59,120,, 16 | Guangxi,Mainland China,1/31/2020 23:59,87,,2 17 | Shaanxi,Mainland China,1/31/2020 23:59,87,, 18 | Yunnan,Mainland China,1/31/2020 23:59,83,,1 19 | Hebei,Mainland China,1/31/2020 23:59,82,1, 20 | Heilongjiang,Mainland China,1/31/2020 23:59,59,2, 21 | Hainan,Mainland China,1/31/2020 23:59,52,1,1 22 | Liaoning,Mainland China,1/31/2020 23:59,48,,1 23 | Shanxi,Mainland China,1/31/2020 23:59,39,,1 24 | Tianjin,Mainland China,1/31/2020 23:59,32,, 25 | Guizhou,Mainland China,1/31/2020 23:59,29,,2 26 | Gansu,Mainland China,1/31/2020 23:59,29,, 27 | Ningxia,Mainland China,1/31/2020 23:59,21,, 28 | Inner Mongolia,Mainland China,1/31/2020 23:59,20,,1 29 | Xinjiang,Mainland China,1/31/2020 23:59,17,, 30 | Jilin,Mainland China,1/31/2020 23:59,14,,1 31 | Hong Kong,Hong Kong,1/31/2020 23:59,12,, 32 | Taiwan,Taiwan,1/31/2020 23:59,10,, 33 | Qinghai,Mainland China,1/31/2020 23:59,8,, 34 | Macau,Macau,1/31/2020 23:59,7,, 35 | Tibet,Mainland China,1/31/2020 23:59,1,, 36 | ,Thailand,1/31/2020 23:59,19,,5 37 | ,Japan,1/31/2020 23:59,15,,1 38 | ,Singapore,1/31/2020 23:59,13,, 39 | ,South Korea,1/31/2020 23:59,11,, 40 | ,Malaysia,1/31/2020 23:59,8,, 41 | ,France,1/31/2020 23:59,5,, 42 | Bavaria,Germany,1/31/2020 23:59,5,, 43 | New South Wales,Australia,1/31/2020 23:59,4,,2 44 | ,United Arab Emirates,1/31/2020 23:59,4,, 45 | Victoria,Australia,1/31/2020 23:59,3,, 46 | Illinois,US,1/31/2020 23:59,2,, 47 | California,US,1/31/2020 23:59,2,, 48 | ,Vietnam,1/31/2020 23:59,2,, 49 | Ontario,Canada,1/31/2020 23:59,2,, 50 | Queensland,Australia,1/31/2020 23:59,2,, 51 | ,Italy,1/31/2020 23:59,2,, 52 | ,UK,1/31/2020 23:59,2,, 53 | ,Russia,1/31/2020 23:59,2,, 54 | Washington,US,1/31/2020 23:59,1,, 55 | Arizona,US,1/31/2020 23:59,1,, 56 | ,Nepal,1/31/2020 23:59,1,, 57 | British Columbia,Canada,1/31/2020 23:59,1,, 58 | ,Cambodia,1/31/2020 23:59,1,, 59 | ,Sri Lanka,1/31/2020 23:59,1,, 60 | ,Finland,1/31/2020 23:59,1,, 61 | ,Philippines,1/31/2020 23:59,1,, 62 | ,India,1/31/2020 23:59,1,, 63 | ,Sweden,1/31/2020 23:59,1,, 64 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-02-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-02T23:43:02,11177,350,295 3 | Zhejiang,Mainland China,2020-02-02T18:03:05,661,0,32 4 | Guangdong,Mainland China,2020-02-02T18:03:05,632,0,15 5 | Henan,Mainland China,2020-02-02T18:03:05,493,2,10 6 | Hunan,Mainland China,2020-02-02T18:03:05,463,0,16 7 | Anhui,Mainland China,2020-02-02T18:03:05,340,0,7 8 | Jiangxi,Mainland China,2020-02-02T18:03:05,333,0,12 9 | Chongqing,Mainland China,2020-02-02T23:33:02,300,2,7 10 | Jiangsu,Mainland China,2020-02-02T18:03:05,236,0,7 11 | Sichuan,Mainland China,2020-02-02T18:03:05,231,1,11 12 | Shandong,Mainland China,2020-02-02T18:03:05,230,0,6 13 | Beijing,Mainland China,2020-02-02T08:43:02,191,1,9 14 | Shanghai,Mainland China,2020-02-02T05:53:02,182,1,10 15 | Fujian,Mainland China,2020-02-02T03:43:01,159,0,0 16 | Shaanxi,Mainland China,2020-02-02T03:23:14,116,0,0 17 | Guangxi,Mainland China,2020-02-02T00:23:13,111,0,2 18 | Yunnan,Mainland China,2020-02-02T18:03:05,105,0,3 19 | Hebei,Mainland China,2020-02-02T02:53:02,104,1,3 20 | Heilongjiang,Mainland China,2020-02-02T03:23:14,95,2,2 21 | Liaoning,Mainland China,2020-02-02T18:03:05,70,0,1 22 | Shanxi,Mainland China,2020-02-02T23:23:13,66,0,3 23 | Hainan,Mainland China,2020-02-02T18:03:05,64,1,4 24 | Gansu,Mainland China,2020-02-02T23:43:02,51,0,3 25 | Tianjin,Mainland China,2020-02-02T09:43:01,48,0,1 26 | Guizhou,Mainland China,2020-02-02T01:03:32,38,0,2 27 | Ningxia,Mainland China,2020-02-02T01:43:02,28,0,0 28 | Inner Mongolia,Mainland China,2020-02-02T03:43:01,27,0,1 29 | Jilin,Mainland China,2020-02-02T02:33:02,23,0,1 30 | Xinjiang,Mainland China,2020-02-02T00:43:02,21,0,0 31 | ,Japan,2020-02-01T18:53:03,20,0,1 32 | ,Thailand,2020-01-31T10:37:00,19,0,5 33 | ,Singapore,2020-02-02T01:03:32,18,0,0 34 | Hong Kong,Hong Kong,2020-02-02T23:53:02,15,0,0 35 | ,South Korea,2020-02-02T02:23:13,15,0,0 36 | Qinghai,Mainland China,2020-02-02T05:33:03,11,0,0 37 | ,Germany,2020-02-02T18:03:05,10,0,0 38 | Taiwan,Taiwan,2020-01-31T15:20:56,10,0,0 39 | Macau,Macau,2020-02-02T04:23:14,8,0,0 40 | ,Malaysia,2020-01-31T08:15:53,8,0,0 41 | ,France,2020-02-01T01:52:40,6,0,0 42 | ,Vietnam,2020-02-01T07:38:12,6,0,1 43 | ,United Arab Emirates,2020-02-02T05:43:01,5,0,0 44 | New South Wales,Australia,2020-02-01T18:12:49,4,0,2 45 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 46 | Ontario,Canada,2020-02-01T18:12:49,3,0,0 47 | Queensland,Australia,2020-02-02T22:33:07,2,0,0 48 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 49 | ,India,2020-02-02T06:03:08,2,0,0 50 | ,Italy,2020-01-31T08:15:53,2,0,0 51 | ,Philippines,2020-02-02T03:33:07,2,1,0 52 | ,Russia,2020-01-31T16:13:45,2,0,0 53 | ,UK,2020-02-01T01:52:40,2,0,0 54 | "Chicago, IL",US,2020-02-01T19:43:03,2,0,0 55 | ,Cambodia,2020-01-31T08:15:53,1,0,0 56 | British Columbia,Canada,2020-02-01T18:12:49,1,0,0 57 | ,Finland,2020-01-31T08:15:53,1,0,0 58 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 59 | ,Nepal,2020-01-31T08:15:53,1,0,0 60 | ,Spain,2020-02-01T23:43:02,1,0,0 61 | ,Sri Lanka,2020-01-31T08:15:53,1,0,0 62 | ,Sweden,2020-02-01T02:13:26,1,0,0 63 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 64 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 65 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 66 | "Santa Clara, CA",US,2020-02-01T19:53:03,1,0,0 67 | "Seattle, WA",US,2020-02-01T19:43:03,1,0,0 68 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 69 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-03-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-03T23:23:03,13522,414,386 3 | Guangdong,Mainland China,2020-02-03T12:53:02,725,0,21 4 | Zhejiang,Mainland China,2020-02-03T13:33:02,724,0,43 5 | Henan,Mainland China,2020-02-03T17:11:34,566,2,16 6 | Hunan,Mainland China,2020-02-03T11:03:10,521,0,22 7 | Anhui,Mainland China,2020-02-03T17:11:34,408,0,14 8 | Jiangxi,Mainland China,2020-02-03T01:33:02,391,0,18 9 | Chongqing,Mainland China,2020-02-03T23:43:02,337,2,9 10 | Jiangsu,Mainland China,2020-02-03T11:03:10,271,0,8 11 | Shandong,Mainland China,2020-02-03T17:11:34,259,0,7 12 | Sichuan,Mainland China,2020-02-03T11:23:23,254,1,14 13 | Beijing,Mainland China,2020-02-03T09:23:05,212,1,12 14 | Shanghai,Mainland China,2020-02-03T07:03:12,203,1,10 15 | Fujian,Mainland China,2020-02-03T11:33:13,179,0,1 16 | Shaanxi,Mainland China,2020-02-03T02:33:02,128,0,0 17 | Guangxi,Mainland China,2020-02-03T12:33:02,127,0,7 18 | Heilongjiang,Mainland China,2020-02-03T07:13:19,121,2,2 19 | Yunnan,Mainland China,2020-02-03T23:23:03,117,0,5 20 | Hebei,Mainland China,2020-02-03T00:23:14,113,1,3 21 | Liaoning,Mainland China,2020-02-03T17:11:34,74,0,1 22 | Shanxi,Mainland China,2020-02-03T23:13:11,74,0,2 23 | Hainan,Mainland China,2020-02-03T17:11:34,72,1,4 24 | Tianjin,Mainland China,2020-02-03T13:53:03,60,0,1 25 | Gansu,Mainland China,2020-02-03T23:03:08,55,0,3 26 | Guizhou,Mainland China,2020-02-03T01:03:22,46,0,2 27 | Inner Mongolia,Mainland China,2020-02-03T03:03:09,34,0,1 28 | Jilin,Mainland China,2020-02-03T00:53:03,31,0,1 29 | Ningxia,Mainland China,2020-02-03T08:33:03,31,0,1 30 | Xinjiang,Mainland China,2020-02-03T01:13:21,24,0,0 31 | ,Japan,2020-02-01T18:53:03,20,0,1 32 | ,Thailand,2020-01-31T10:37:00,19,0,5 33 | ,Singapore,2020-02-02T01:03:32,18,0,0 34 | Hong Kong,Hong Kong,2020-02-02T23:53:02,15,0,0 35 | ,South Korea,2020-02-02T02:23:13,15,0,0 36 | Qinghai,Mainland China,2020-02-03T02:43:01,13,0,0 37 | ,Germany,2020-02-03T20:53:02,12,0,0 38 | Taiwan,Taiwan,2020-01-31T15:20:56,10,0,0 39 | Macau,Macau,2020-02-02T04:23:14,8,0,0 40 | ,Malaysia,2020-01-31T08:15:53,8,0,0 41 | ,Vietnam,2020-02-03T21:43:02,8,0,1 42 | ,France,2020-02-01T01:52:40,6,0,0 43 | ,United Arab Emirates,2020-02-02T05:43:01,5,0,0 44 | New South Wales,Australia,2020-02-01T18:12:49,4,0,2 45 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 46 | Ontario,Canada,2020-02-01T18:12:49,3,0,0 47 | ,India,2020-02-03T21:43:02,3,0,0 48 | Queensland,Australia,2020-02-02T22:33:07,2,0,0 49 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 50 | ,Italy,2020-01-31T08:15:53,2,0,0 51 | ,Philippines,2020-02-02T03:33:07,2,1,0 52 | ,Russia,2020-01-31T16:13:45,2,0,0 53 | ,UK,2020-02-01T01:52:40,2,0,0 54 | "Chicago, IL",US,2020-02-01T19:43:03,2,0,0 55 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 56 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 57 | ,Cambodia,2020-01-31T08:15:53,1,0,0 58 | British Columbia,Canada,2020-02-01T18:12:49,1,0,0 59 | ,Finland,2020-01-31T08:15:53,1,0,0 60 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 61 | ,Nepal,2020-01-31T08:15:53,1,0,0 62 | ,Spain,2020-02-01T23:43:02,1,0,0 63 | ,Sri Lanka,2020-01-31T08:15:53,1,0,0 64 | ,Sweden,2020-02-01T02:13:26,1,0,0 65 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 66 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 67 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 68 | "Seattle, WA",US,2020-02-01T19:43:03,1,0,0 69 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 70 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-04-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-04T23:43:01,16678,479,522 3 | Zhejiang,Mainland China,2020-02-04T13:03:07,829,0,62 4 | Guangdong,Mainland China,2020-02-04T13:03:07,813,0,30 5 | Henan,Mainland China,2020-02-04T11:53:02,675,2,27 6 | Hunan,Mainland China,2020-02-04T14:03:03,593,0,31 7 | Anhui,Mainland China,2020-02-04T05:33:01,480,0,20 8 | Jiangxi,Mainland China,2020-02-04T14:43:02,476,0,20 9 | Chongqing,Mainland China,2020-02-04T23:43:01,366,2,9 10 | Jiangsu,Mainland China,2020-02-04T11:53:02,308,0,12 11 | Sichuan,Mainland China,2020-02-04T01:43:02,282,1,14 12 | Shandong,Mainland China,2020-02-04T12:03:04,275,0,11 13 | Beijing,Mainland China,2020-02-04T08:33:01,228,1,23 14 | Shanghai,Mainland China,2020-02-04T06:33:02,219,1,12 15 | Fujian,Mainland China,2020-02-04T12:13:11,194,0,3 16 | Heilongjiang,Mainland China,2020-02-04T07:43:01,155,2,4 17 | Shaanxi,Mainland China,2020-02-04T12:33:02,142,0,2 18 | Guangxi,Mainland China,2020-02-04T05:53:01,139,0,10 19 | Hebei,Mainland China,2020-02-04T08:53:01,126,1,4 20 | Yunnan,Mainland China,2020-02-04T23:23:02,122,0,5 21 | Liaoning,Mainland China,2020-02-04T14:13:08,81,0,2 22 | Shanxi,Mainland China,2020-02-04T23:23:02,81,0,4 23 | Hainan,Mainland China,2020-02-04T11:33:03,80,1,5 24 | Tianjin,Mainland China,2020-02-04T13:33:02,67,0,2 25 | Guizhou,Mainland China,2020-02-04T10:43:02,58,0,2 26 | Gansu,Mainland China,2020-02-04T15:43:02,57,0,4 27 | Jilin,Mainland China,2020-02-04T00:23:05,42,0,1 28 | Inner Mongolia,Mainland China,2020-02-04T03:03:07,35,0,1 29 | Ningxia,Mainland China,2020-02-04T02:13:18,34,0,1 30 | Xinjiang,Mainland China,2020-02-04T01:33:01,29,0,0 31 | ,Thailand,2020-02-04T15:33:03,25,0,5 32 | ,Singapore,2020-02-04T15:33:03,24,0,0 33 | ,Japan,2020-02-04T16:43:03,22,0,1 34 | Hong Kong,Hong Kong,2020-02-04T09:03:02,17,1,0 35 | ,South Korea,2020-02-04T15:33:03,16,0,0 36 | Qinghai,Mainland China,2020-02-04T01:33:01,15,0,0 37 | ,Germany,2020-02-03T20:53:02,12,0,0 38 | Taiwan,Taiwan,2020-02-04T14:53:02,11,0,0 39 | Macau,Macau,2020-02-04T04:43:02,10,0,0 40 | ,Malaysia,2020-02-04T07:33:02,10,0,0 41 | ,Vietnam,2020-02-03T21:43:02,8,0,1 42 | ,France,2020-02-01T01:52:40,6,0,0 43 | ,United Arab Emirates,2020-02-02T05:43:01,5,0,0 44 | New South Wales,Australia,2020-02-01T18:12:49,4,0,2 45 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 46 | Queensland,Australia,2020-02-04T16:53:03,3,0,0 47 | ,India,2020-02-03T21:43:02,3,0,0 48 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 49 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 50 | ,Italy,2020-01-31T08:15:53,2,0,0 51 | ,Philippines,2020-02-02T03:33:07,2,1,0 52 | ,Russia,2020-01-31T16:13:45,2,0,0 53 | ,UK,2020-02-01T01:52:40,2,0,0 54 | "Chicago, IL",US,2020-02-01T19:43:03,2,0,0 55 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 56 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 57 | ,Belgium,2020-02-04T15:43:02,1,0,0 58 | ,Cambodia,2020-01-31T08:15:53,1,0,0 59 | British Columbia,Canada,2020-02-01T18:12:49,1,0,0 60 | "London, ON",Canada,2020-02-04T00:03:11,1,0,0 61 | ,Finland,2020-01-31T08:15:53,1,0,0 62 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 63 | ,Nepal,2020-01-31T08:15:53,1,0,0 64 | ,Spain,2020-02-01T23:43:02,1,0,0 65 | ,Sri Lanka,2020-01-31T08:15:53,1,0,0 66 | ,Sweden,2020-02-01T02:13:26,1,0,0 67 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 68 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 69 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 70 | "Seattle, WA",US,2020-02-01T19:43:03,1,0,0 71 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 72 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-05-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-05T23:13:12,19665,549,633 3 | Guangdong,Mainland China,2020-02-05T13:23:04,895,0,49 4 | Zhejiang,Mainland China,2020-02-05T15:13:02,895,0,78 5 | Henan,Mainland China,2020-02-05T15:03:02,764,2,47 6 | Hunan,Mainland China,2020-02-05T15:23:02,661,0,54 7 | Jiangxi,Mainland China,2020-02-05T01:33:07,548,0,27 8 | Anhui,Mainland China,2020-02-05T13:43:02,530,0,23 9 | Chongqing,Mainland China,2020-02-05T23:43:02,389,2,15 10 | Jiangsu,Mainland China,2020-02-05T12:43:02,341,0,23 11 | Shandong,Mainland China,2020-02-05T10:13:13,307,0,15 12 | Sichuan,Mainland China,2020-02-05T10:13:13,301,1,24 13 | Beijing,Mainland China,2020-02-05T05:43:02,253,1,24 14 | Shanghai,Mainland China,2020-02-05T06:23:04,243,1,15 15 | Fujian,Mainland China,2020-02-05T12:33:01,205,0,11 16 | Heilongjiang,Mainland China,2020-02-05T12:13:04,190,2,7 17 | Shaanxi,Mainland China,2020-02-05T08:43:01,165,0,6 18 | Guangxi,Mainland China,2020-02-05T12:03:08,150,0,13 19 | Hebei,Mainland China,2020-02-05T11:23:18,135,1,6 20 | Yunnan,Mainland China,2020-02-05T23:33:02,128,0,5 21 | Hainan,Mainland China,2020-02-05T16:43:04,99,1,5 22 | Liaoning,Mainland China,2020-02-05T15:23:02,89,0,4 23 | Shanxi,Mainland China,2020-02-05T15:23:02,81,0,5 24 | Tianjin,Mainland China,2020-02-05T03:43:02,69,1,2 25 | Guizhou,Mainland China,2020-02-05T12:33:02,64,1,9 26 | Gansu,Mainland China,2020-02-05T16:23:06,62,0,6 27 | Jilin,Mainland China,2020-02-05T11:03:16,54,0,2 28 | Inner Mongolia,Mainland China,2020-02-05T08:53:02,42,0,3 29 | Ningxia,Mainland China,2020-02-04T02:13:18,34,0,1 30 | Xinjiang,Mainland China,2020-02-05T02:03:13,32,0,0 31 | ,Singapore,2020-02-05T16:33:03,28,0,0 32 | ,Thailand,2020-02-04T15:33:03,25,0,5 33 | ,Japan,2020-02-04T16:43:03,22,0,1 34 | Hong Kong,Hong Kong,2020-02-05T13:13:10,21,1,0 35 | ,South Korea,2020-02-05T15:33:01,19,0,0 36 | Qinghai,Mainland China,2020-02-05T03:13:05,17,0,3 37 | ,Germany,2020-02-03T20:53:02,12,0,0 38 | ,Malaysia,2020-02-05T15:43:02,12,0,0 39 | Taiwan,Taiwan,2020-02-04T14:53:02,11,0,0 40 | Macau,Macau,2020-02-04T04:43:02,10,0,0 41 | ,Vietnam,2020-02-03T21:43:02,8,0,1 42 | ,France,2020-02-01T01:52:40,6,0,0 43 | ,United Arab Emirates,2020-02-02T05:43:01,5,0,0 44 | New South Wales,Australia,2020-02-01T18:12:49,4,0,2 45 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 46 | Queensland,Australia,2020-02-04T16:53:03,3,0,0 47 | ,India,2020-02-03T21:43:02,3,0,0 48 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 49 | British Columbia,Canada,2020-02-05T17:33:03,2,0,0 50 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 51 | ,Italy,2020-01-31T08:15:53,2,0,0 52 | ,Philippines,2020-02-02T03:33:07,2,1,0 53 | ,Russia,2020-01-31T16:13:45,2,0,0 54 | ,UK,2020-02-01T01:52:40,2,0,0 55 | "Chicago, IL",US,2020-02-01T19:43:03,2,0,0 56 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 57 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 58 | ,Belgium,2020-02-04T15:43:02,1,0,0 59 | ,Cambodia,2020-01-31T08:15:53,1,0,0 60 | "London, ON",Canada,2020-02-04T00:03:11,1,0,0 61 | ,Finland,2020-01-31T08:15:53,1,0,0 62 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 63 | ,Nepal,2020-01-31T08:15:53,1,0,0 64 | ,Spain,2020-02-01T23:43:02,1,0,0 65 | ,Sri Lanka,2020-01-31T08:15:53,1,0,0 66 | ,Sweden,2020-02-01T02:13:26,1,0,0 67 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 68 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 69 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 70 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 71 | "Seattle, WA",US,2020-02-01T19:43:03,1,0,0 72 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 73 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-08-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-08T23:33:06,27100,780,1439 3 | Guangdong,Mainland China,2020-02-08T11:53:01,1095,1,112 4 | Zhejiang,Mainland China,2020-02-08T10:53:02,1048,0,175 5 | Henan,Mainland China,2020-02-08T14:13:12,981,4,116 6 | Hunan,Mainland China,2020-02-08T12:53:01,803,1,156 7 | Anhui,Mainland China,2020-02-08T07:43:02,733,0,59 8 | Jiangxi,Mainland China,2020-02-08T01:23:02,698,0,55 9 | Jiangsu,Mainland China,2020-02-08T10:23:04,439,0,51 10 | Chongqing,Mainland China,2020-02-08T11:03:15,428,2,39 11 | Shandong,Mainland China,2020-02-08T11:33:02,416,0,44 12 | Sichuan,Mainland China,2020-02-08T15:23:04,364,1,60 13 | Beijing,Mainland China,2020-02-08T03:13:09,315,2,34 14 | Heilongjiang,Mainland China,2020-02-08T04:03:09,295,5,13 15 | Shanghai,Mainland China,2020-02-08T06:33:02,286,1,41 16 | Fujian,Mainland China,2020-02-08T08:13:10,239,0,24 17 | Hebei,Mainland China,2020-02-08T11:33:02,195,1,30 18 | Shaanxi,Mainland China,2020-02-08T10:13:06,195,0,20 19 | Guangxi,Mainland China,2020-02-08T00:23:03,183,0,17 20 | Yunnan,Mainland China,2020-02-08T08:43:02,138,0,17 21 | Hainan,Mainland China,2020-02-08T10:23:04,124,2,14 22 | Shanxi,Mainland China,2020-02-08T23:53:02,115,0,21 23 | Liaoning,Mainland China,2020-02-08T11:53:01,105,0,8 24 | Guizhou,Mainland China,2020-02-08T06:43:03,89,1,7 25 | Tianjin,Mainland China,2020-02-08T08:23:04,88,1,4 26 | Gansu,Mainland China,2020-02-08T15:13:14,79,1,12 27 | Jilin,Mainland China,2020-02-08T00:13:04,69,1,4 28 | Cruise Ship,Others,2020-02-07T16:33:03,61,0,0 29 | Inner Mongolia,Mainland China,2020-02-08T03:33:02,52,0,5 30 | Ningxia,Mainland China,2020-02-08T09:13:16,45,0,15 31 | Xinjiang,Mainland China,2020-02-08T03:23:10,42,0,0 32 | ,Singapore,2020-02-08T12:53:01,33,0,2 33 | ,Thailand,2020-02-08T12:53:01,32,0,10 34 | Hong Kong,Hong Kong,2020-02-08T00:03:07,26,1,0 35 | ,Japan,2020-02-07T04:13:20,25,0,1 36 | ,South Korea,2020-02-07T03:03:03,24,0,1 37 | Qinghai,Mainland China,2020-02-06T02:13:15,18,0,3 38 | Taiwan,Taiwan,2020-02-08T05:23:02,17,0,1 39 | ,Malaysia,2020-02-08T10:23:04,16,0,1 40 | ,Germany,2020-02-07T16:33:03,13,0,0 41 | ,Vietnam,2020-02-08T07:23:04,13,0,1 42 | ,France,2020-02-08T09:53:01,11,0,0 43 | Macau,Macau,2020-02-06T14:23:04,10,0,1 44 | ,United Arab Emirates,2020-02-08T07:03:16,7,0,0 45 | Queensland,Australia,2020-02-07T01:03:02,5,0,0 46 | New South Wales,Australia,2020-02-06T03:13:22,4,0,2 47 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 48 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 49 | ,India,2020-02-03T21:43:02,3,0,0 50 | ,Italy,2020-02-07T17:53:02,3,0,0 51 | ,Philippines,2020-02-07T16:43:04,3,1,0 52 | ,UK,2020-02-07T18:33:02,3,0,0 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-01-31T16:13:45,2,0,0 56 | "Chicago, IL",US,2020-02-01T19:43:03,2,0,0 57 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 58 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 59 | ,Belgium,2020-02-04T15:43:02,1,0,0 60 | ,Cambodia,2020-01-31T08:15:53,1,0,0 61 | "London, ON",Canada,2020-02-04T00:03:11,1,0,0 62 | ,Finland,2020-01-31T08:15:53,1,0,0 63 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 64 | ,Nepal,2020-01-31T08:15:53,1,0,0 65 | ,Spain,2020-02-01T23:43:02,1,0,0 66 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 67 | ,Sweden,2020-02-01T02:13:26,1,0,0 68 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 69 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 70 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 71 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 72 | "Seattle, WA",US,2020-02-01T19:43:03,1,0,0 73 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 74 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-09-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-09T23:33:02,29631,871,1795 3 | Guangdong,Mainland China,2020-02-09T15:03:05,1131,1,141 4 | Zhejiang,Mainland China,2020-02-09T12:03:04,1075,0,201 5 | Henan,Mainland China,2020-02-09T11:23:08,1033,6,153 6 | Hunan,Mainland China,2020-02-09T12:33:01,838,1,186 7 | Anhui,Mainland China,2020-02-09T09:33:02,779,1,72 8 | Jiangxi,Mainland China,2020-02-09T11:33:12,740,0,73 9 | Chongqing,Mainland China,2020-02-09T23:53:02,468,2,51 10 | Jiangsu,Mainland China,2020-02-09T10:23:11,468,0,71 11 | Shandong,Mainland China,2020-02-09T15:03:05,444,1,63 12 | Sichuan,Mainland China,2020-02-09T12:43:01,386,1,71 13 | Beijing,Mainland China,2020-02-09T03:43:02,326,2,37 14 | Heilongjiang,Mainland China,2020-02-09T08:43:05,307,6,14 15 | Shanghai,Mainland China,2020-02-09T06:33:01,293,1,44 16 | Fujian,Mainland China,2020-02-09T09:13:11,250,0,35 17 | Shaanxi,Mainland China,2020-02-09T03:03:09,208,0,25 18 | Hebei,Mainland China,2020-02-09T12:43:01,206,2,34 19 | Guangxi,Mainland China,2020-02-09T00:33:07,195,1,18 20 | Yunnan,Mainland China,2020-02-09T08:53:02,141,0,18 21 | Hainan,Mainland China,2020-02-09T13:33:02,131,3,19 22 | Shanxi,Mainland China,2020-02-09T23:43:02,119,0,25 23 | Liaoning,Mainland China,2020-02-09T12:23:03,107,0,12 24 | Guizhou,Mainland China,2020-02-09T09:53:02,99,1,7 25 | Tianjin,Mainland China,2020-02-09T23:43:02,91,1,4 26 | Gansu,Mainland China,2020-02-09T23:33:02,83,2,16 27 | Jilin,Mainland China,2020-02-09T09:03:04,78,1,12 28 | Diamond Princess cruise ship,Others,2020-02-09T06:13:11,64,0,0 29 | Inner Mongolia,Mainland China,2020-02-09T02:23:07,54,0,5 30 | Ningxia,Mainland China,2020-02-09T02:03:11,45,0,13 31 | Xinjiang,Mainland China,2020-02-09T01:23:08,45,0,0 32 | ,Singapore,2020-02-09T02:43:02,40,0,2 33 | ,Thailand,2020-02-08T12:53:01,32,0,10 34 | Hong Kong,Hong Kong,2020-02-09T09:53:02,29,1,0 35 | ,Japan,2020-02-09T06:13:11,26,0,1 36 | ,South Korea,2020-02-09T02:33:02,25,0,3 37 | Qinghai,Mainland China,2020-02-06T02:13:15,18,0,3 38 | Taiwan,Taiwan,2020-02-09T09:13:11,18,0,1 39 | ,Malaysia,2020-02-08T10:23:04,16,0,1 40 | ,Germany,2020-02-09T06:13:11,14,0,0 41 | ,Vietnam,2020-02-08T07:23:04,13,0,1 42 | ,France,2020-02-08T09:53:01,11,0,0 43 | Macau,Macau,2020-02-06T14:23:04,10,0,1 44 | ,United Arab Emirates,2020-02-08T07:03:16,7,0,0 45 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 46 | New South Wales,Australia,2020-02-06T03:13:22,4,0,2 47 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 48 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 49 | ,India,2020-02-03T21:43:02,3,0,0 50 | ,Italy,2020-02-07T17:53:02,3,0,0 51 | ,Philippines,2020-02-07T16:43:04,3,1,0 52 | ,UK,2020-02-07T18:33:02,3,0,0 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-01-31T16:13:45,2,0,0 56 | ,Spain,2020-02-09T20:33:03,2,0,0 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 60 | ,Belgium,2020-02-04T15:43:02,1,0,0 61 | ,Cambodia,2020-01-31T08:15:53,1,0,0 62 | "London, ON",Canada,2020-02-04T00:03:11,1,0,0 63 | ,Finland,2020-01-31T08:15:53,1,0,0 64 | Tibet,Mainland China,2020-02-01T01:52:40,1,0,0 65 | ,Nepal,2020-01-31T08:15:53,1,0,0 66 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 67 | ,Sweden,2020-02-01T02:13:26,1,0,0 68 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 69 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 70 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 71 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 72 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 73 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 74 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-12-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-12T14:13:08,33366,1068,2686 3 | Guangdong,Mainland China,2020-02-12T12:23:09,1219,1,275 4 | Henan,Mainland China,2020-02-12T14:13:08,1135,8,246 5 | Zhejiang,Mainland China,2020-02-12T10:13:20,1131,0,321 6 | Hunan,Mainland China,2020-02-12T12:43:03,946,2,304 7 | Anhui,Mainland China,2020-02-12T10:13:20,889,4,127 8 | Jiangxi,Mainland China,2020-02-12T01:23:06,844,1,152 9 | Jiangsu,Mainland China,2020-02-12T14:13:08,543,0,125 10 | Chongqing,Mainland China,2020-02-12T23:13:08,518,3,102 11 | Shandong,Mainland China,2020-02-12T11:13:05,497,2,92 12 | Sichuan,Mainland China,2020-02-12T12:43:03,436,1,92 13 | Heilongjiang,Mainland China,2020-02-12T14:13:08,378,8,31 14 | Beijing,Mainland China,2020-02-12T02:43:03,352,3,56 15 | Shanghai,Mainland China,2020-02-12T06:23:08,311,1,57 16 | Fujian,Mainland China,2020-02-12T11:53:02,272,0,53 17 | Hebei,Mainland China,2020-02-12T11:13:05,251,2,54 18 | Shaanxi,Mainland China,2020-02-12T11:13:05,225,0,43 19 | Guangxi,Mainland China,2020-02-12T15:03:05,222,1,32 20 | Diamond Princess cruise ship,Others,2020-02-12T04:23:38,175,0,0 21 | Hainan,Mainland China,2020-02-12T17:03:03,157,4,27 22 | Yunnan,Mainland China,2020-02-12T14:13:08,154,0,26 23 | Guizhou,Mainland China,2020-02-12T09:43:02,133,1,18 24 | Shanxi,Mainland China,2020-02-12T23:03:02,126,0,33 25 | Liaoning,Mainland China,2020-02-12T13:33:02,116,1,20 26 | Tianjin,Mainland China,2020-02-12T15:03:05,112,2,11 27 | Gansu,Mainland China,2020-02-12T23:23:01,87,2,31 28 | Jilin,Mainland China,2020-02-12T14:13:08,83,1,22 29 | Inner Mongolia,Mainland China,2020-02-12T11:13:05,60,0,6 30 | Xinjiang,Mainland China,2020-02-12T01:43:02,59,0,3 31 | Ningxia,Mainland China,2020-02-12T11:13:05,58,0,24 32 | Hong Kong,Hong Kong,2020-02-12T09:53:02,50,1,1 33 | ,Singapore,2020-02-12T19:53:02,50,0,15 34 | ,Thailand,2020-02-11T18:43:04,33,0,10 35 | ,Japan,2020-02-12T02:43:03,28,0,9 36 | ,South Korea,2020-02-12T14:43:03,28,0,7 37 | Qinghai,Mainland China,2020-02-12T08:03:06,18,0,9 38 | ,Malaysia,2020-02-11T03:13:13,18,0,3 39 | Taiwan,Taiwan,2020-02-09T09:13:11,18,0,1 40 | ,Germany,2020-02-11T19:33:03,16,0,0 41 | ,Vietnam,2020-02-11T16:43:06,15,0,6 42 | ,France,2020-02-12T18:53:02,11,0,2 43 | Macau,Macau,2020-02-12T09:53:02,10,0,2 44 | ,UK,2020-02-12T19:03:06,9,0,1 45 | ,United Arab Emirates,2020-02-12T00:33:02,8,0,1 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | New South Wales,Australia,2020-02-06T03:13:22,4,0,2 48 | Victoria,Australia,2020-02-01T18:12:49,4,0,0 49 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 50 | ,India,2020-02-03T21:43:02,3,0,0 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-02-12T14:43:03,2,0,2 56 | ,Spain,2020-02-09T20:33:03,2,0,0 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 60 | ,Belgium,2020-02-04T15:43:02,1,0,0 61 | ,Cambodia,2020-02-12T07:43:02,1,0,1 62 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 63 | ,Finland,2020-02-12T00:03:12,1,0,1 64 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 65 | ,Nepal,2020-02-12T14:43:03,1,0,1 66 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 67 | ,Sweden,2020-02-01T02:13:26,1,0,0 68 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 69 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 70 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 71 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 72 | "San Diego County, CA",US,2020-02-11T01:23:05,1,0,0 73 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 74 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 75 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-14-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-14T23:33:02,54406,1457,4774 3 | Guangdong,Mainland China,2020-02-14T12:53:02,1261,2,362 4 | Henan,Mainland China,2020-02-14T12:53:02,1184,11,357 5 | Zhejiang,Mainland China,2020-02-14T14:13:15,1155,0,403 6 | Hunan,Mainland China,2020-02-14T09:23:04,988,2,364 7 | Anhui,Mainland China,2020-02-14T12:53:02,934,6,193 8 | Jiangxi,Mainland China,2020-02-14T01:13:06,900,1,187 9 | Jiangsu,Mainland China,2020-02-14T10:03:03,593,0,157 10 | Chongqing,Mainland China,2020-02-14T23:33:02,537,5,152 11 | Shandong,Mainland China,2020-02-14T11:13:22,523,2,136 12 | Sichuan,Mainland China,2020-02-14T11:13:22,463,1,114 13 | Heilongjiang,Mainland China,2020-02-14T13:23:07,419,11,47 14 | Beijing,Mainland China,2020-02-14T06:33:02,372,3,80 15 | Shanghai,Mainland China,2020-02-14T04:13:11,318,1,90 16 | Hebei,Mainland China,2020-02-14T11:13:22,283,3,87 17 | Fujian,Mainland China,2020-02-14T11:13:22,281,0,63 18 | Shaanxi,Mainland China,2020-02-14T12:53:02,230,0,54 19 | Guangxi,Mainland China,2020-02-14T15:23:02,226,2,36 20 | Diamond Princess cruise ship,Others,2020-02-14T00:13:23,218,0,0 21 | Yunnan,Mainland China,2020-02-14T12:53:02,162,0,36 22 | Hainan,Mainland China,2020-02-14T15:23:02,159,4,43 23 | Guizhou,Mainland China,2020-02-14T01:53:02,140,1,28 24 | Shanxi,Mainland China,2020-02-14T23:23:04,127,0,38 25 | Tianjin,Mainland China,2020-02-14T11:13:22,120,3,31 26 | Liaoning,Mainland China,2020-02-14T15:23:02,119,1,29 27 | Gansu,Mainland China,2020-02-13T15:53:03,90,2,39 28 | Jilin,Mainland China,2020-02-14T00:43:02,86,1,25 29 | Ningxia,Mainland China,2020-02-14T01:43:02,67,0,24 30 | ,Singapore,2020-02-14T12:43:02,67,0,17 31 | Inner Mongolia,Mainland China,2020-02-14T02:03:08,65,0,6 32 | Xinjiang,Mainland China,2020-02-14T01:13:06,65,1,6 33 | Hong Kong,Hong Kong,2020-02-14T09:03:12,56,1,1 34 | ,Thailand,2020-02-13T17:53:03,33,0,12 35 | ,Japan,2020-02-14T03:53:02,29,1,9 36 | ,South Korea,2020-02-12T14:43:03,28,0,7 37 | ,Malaysia,2020-02-13T10:53:02,19,0,3 38 | Qinghai,Mainland China,2020-02-13T08:43:08,18,0,11 39 | Taiwan,Taiwan,2020-02-14T02:13:06,18,0,2 40 | ,Germany,2020-02-13T15:13:11,16,0,1 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-12T18:53:02,11,0,2 43 | Macau,Macau,2020-02-13T14:13:06,10,0,3 44 | ,UK,2020-02-12T19:03:06,9,0,1 45 | ,United Arab Emirates,2020-02-12T00:33:02,8,0,1 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 48 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 49 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 50 | ,India,2020-02-13T18:53:02,3,0,0 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-02-12T14:43:03,2,0,2 56 | ,Spain,2020-02-09T20:33:03,2,0,0 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 60 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 61 | ,Belgium,2020-02-04T15:43:02,1,0,0 62 | ,Cambodia,2020-02-12T07:43:02,1,0,1 63 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 64 | ,Egypt,2020-02-14T23:53:02,1,0,0 65 | ,Finland,2020-02-12T00:03:12,1,0,1 66 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 67 | ,Nepal,2020-02-12T14:43:03,1,0,1 68 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 69 | ,Sweden,2020-02-01T02:13:26,1,0,0 70 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 71 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 72 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 73 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 74 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 75 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 76 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 77 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-15-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-15T23:13:05,56249,1596,5623 3 | Guangdong,Mainland China,2020-02-15T14:03:04,1294,2,410 4 | Henan,Mainland China,2020-02-15T12:13:08,1212,13,391 5 | Zhejiang,Mainland China,2020-02-15T11:23:17,1162,0,428 6 | Hunan,Mainland China,2020-02-15T13:03:04,1001,2,425 7 | Anhui,Mainland China,2020-02-15T12:13:08,950,6,221 8 | Jiangxi,Mainland China,2020-02-15T01:33:02,913,1,210 9 | Jiangsu,Mainland China,2020-02-15T12:13:08,604,0,186 10 | Chongqing,Mainland China,2020-02-15T23:23:07,544,5,184 11 | Shandong,Mainland China,2020-02-15T11:23:17,532,2,156 12 | Sichuan,Mainland China,2020-02-15T08:43:03,470,1,119 13 | Heilongjiang,Mainland China,2020-02-15T11:43:01,425,11,68 14 | Beijing,Mainland China,2020-02-15T09:53:01,375,4,98 15 | Shanghai,Mainland China,2020-02-15T03:13:06,326,1,124 16 | Hebei,Mainland China,2020-02-15T13:03:04,291,3,101 17 | Fujian,Mainland China,2020-02-15T13:03:04,285,0,71 18 | Diamond Princess cruise ship,Others,2020-02-15T17:03:04,285,0,0 19 | Guangxi,Mainland China,2020-02-15T06:33:01,235,2,44 20 | Shaanxi,Mainland China,2020-02-15T12:13:08,232,0,60 21 | Yunnan,Mainland China,2020-02-15T06:33:01,168,0,42 22 | Hainan,Mainland China,2020-02-15T11:23:17,162,4,39 23 | Guizhou,Mainland China,2020-02-15T14:53:04,143,1,41 24 | Shanxi,Mainland China,2020-02-15T23:13:05,128,0,46 25 | Tianjin,Mainland China,2020-02-15T13:43:01,122,3,37 26 | Liaoning,Mainland China,2020-02-15T09:53:01,119,1,31 27 | Gansu,Mainland China,2020-02-15T12:13:08,90,2,49 28 | Jilin,Mainland China,2020-02-15T12:13:08,88,1,26 29 | ,Singapore,2020-02-15T23:53:02,72,0,18 30 | Ningxia,Mainland China,2020-02-15T08:43:03,70,0,33 31 | Xinjiang,Mainland China,2020-02-15T09:53:01,70,1,10 32 | Inner Mongolia,Mainland China,2020-02-15T14:03:04,68,0,7 33 | Hong Kong,Hong Kong,2020-02-14T09:03:12,56,1,1 34 | ,Japan,2020-02-15T17:43:06,43,1,12 35 | ,Thailand,2020-02-13T17:53:03,33,0,12 36 | ,South Korea,2020-02-15T23:33:02,28,0,9 37 | ,Malaysia,2020-02-15T23:43:02,22,0,7 38 | Qinghai,Mainland China,2020-02-15T08:43:03,18,0,13 39 | Taiwan,Taiwan,2020-02-15T03:43:02,18,0,2 40 | ,Germany,2020-02-13T15:13:11,16,0,1 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-15T20:53:02,12,1,4 43 | Macau,Macau,2020-02-13T14:13:06,10,0,3 44 | ,UK,2020-02-12T19:03:06,9,0,1 45 | ,United Arab Emirates,2020-02-15T06:03:03,8,0,3 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 48 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 49 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 50 | ,India,2020-02-13T18:53:02,3,0,0 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-02-12T14:43:03,2,0,2 56 | ,Spain,2020-02-15T17:23:04,2,0,2 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 60 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 61 | ,Belgium,2020-02-04T15:43:02,1,0,0 62 | ,Cambodia,2020-02-12T07:43:02,1,0,1 63 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 64 | ,Egypt,2020-02-14T23:53:02,1,0,0 65 | ,Finland,2020-02-12T00:03:12,1,0,1 66 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 67 | ,Nepal,2020-02-12T14:43:03,1,0,1 68 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 69 | ,Sweden,2020-02-01T02:13:26,1,0,0 70 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 71 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 72 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 73 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 74 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 75 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 76 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 77 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-13-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-13T14:13:06,48206,1310,3459 3 | Guangdong,Mainland China,2020-02-13T13:33:01,1241,2,314 4 | Henan,Mainland China,2020-02-13T14:53:02,1169,10,296 5 | Zhejiang,Mainland China,2020-02-13T14:13:06,1145,0,360 6 | Hunan,Mainland China,2020-02-13T11:53:02,968,2,339 7 | Anhui,Mainland China,2020-02-13T13:33:01,910,5,157 8 | Jiangxi,Mainland China,2020-02-13T01:13:08,872,1,170 9 | Jiangsu,Mainland China,2020-02-13T10:33:23,570,0,139 10 | Chongqing,Mainland China,2020-02-13T23:23:05,529,4,128 11 | Shandong,Mainland China,2020-02-13T13:33:01,509,2,105 12 | Sichuan,Mainland China,2020-02-13T13:33:01,451,1,104 13 | Heilongjiang,Mainland China,2020-02-13T12:13:06,395,9,33 14 | Beijing,Mainland China,2020-02-13T14:13:06,366,3,69 15 | Shanghai,Mainland China,2020-02-13T06:13:15,315,1,62 16 | Fujian,Mainland China,2020-02-13T10:33:23,279,0,57 17 | Hebei,Mainland China,2020-02-13T10:33:23,265,3,68 18 | Shaanxi,Mainland China,2020-02-13T10:33:23,229,0,46 19 | Guangxi,Mainland China,2020-02-13T00:23:10,222,2,33 20 | Diamond Princess cruise ship,Others,2020-02-12T04:23:38,175,0,0 21 | Hainan,Mainland China,2020-02-13T10:43:03,157,4,30 22 | Yunnan,Mainland China,2020-02-13T08:43:08,156,0,27 23 | Guizhou,Mainland China,2020-02-13T10:33:23,135,1,27 24 | Shanxi,Mainland China,2020-02-13T23:23:05,126,0,36 25 | Tianjin,Mainland China,2020-02-13T23:43:02,119,3,21 26 | Liaoning,Mainland China,2020-02-13T14:33:02,117,1,22 27 | Gansu,Mainland China,2020-02-13T15:53:03,90,2,39 28 | Jilin,Mainland China,2020-02-13T13:33:01,84,1,24 29 | Ningxia,Mainland China,2020-02-13T01:23:08,64,0,24 30 | Xinjiang,Mainland China,2020-02-13T10:33:23,63,1,6 31 | Inner Mongolia,Mainland China,2020-02-13T01:23:08,61,0,6 32 | ,Singapore,2020-02-13T14:33:02,58,0,15 33 | Hong Kong,Hong Kong,2020-02-13T14:53:02,53,1,1 34 | ,Thailand,2020-02-13T17:53:03,33,0,12 35 | ,Japan,2020-02-13T12:23:05,28,1,9 36 | ,South Korea,2020-02-12T14:43:03,28,0,7 37 | ,Malaysia,2020-02-13T10:53:02,19,0,3 38 | Qinghai,Mainland China,2020-02-13T08:43:08,18,0,11 39 | Taiwan,Taiwan,2020-02-09T09:13:11,18,0,1 40 | ,Germany,2020-02-13T15:13:11,16,0,1 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-12T18:53:02,11,0,2 43 | Macau,Macau,2020-02-13T14:13:06,10,0,3 44 | ,UK,2020-02-12T19:03:06,9,0,1 45 | ,United Arab Emirates,2020-02-12T00:33:02,8,0,1 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 48 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 49 | British Columbia,Canada,2020-02-07T05:43:03,4,0,0 50 | ,India,2020-02-13T18:53:02,3,0,0 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-02T22:33:07,2,0,0 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-02-12T14:43:03,2,0,2 56 | ,Spain,2020-02-09T20:33:03,2,0,0 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 60 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 61 | ,Belgium,2020-02-04T15:43:02,1,0,0 62 | ,Cambodia,2020-02-12T07:43:02,1,0,1 63 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 64 | ,Finland,2020-02-12T00:03:12,1,0,1 65 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 66 | ,Nepal,2020-02-12T14:43:03,1,0,1 67 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 68 | ,Sweden,2020-02-01T02:13:26,1,0,0 69 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 70 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 71 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 72 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 73 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 74 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 75 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 76 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-19-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-19T23:23:02,62031,2029,10337 3 | Guangdong,Mainland China,2020-02-19T10:23:02,1331,5,606 4 | Henan,Mainland China,2020-02-19T12:13:08,1262,19,573 5 | Zhejiang,Mainland China,2020-02-19T11:33:02,1174,0,604 6 | Hunan,Mainland China,2020-02-19T11:33:02,1008,4,561 7 | Anhui,Mainland China,2020-02-19T14:13:03,986,6,413 8 | Jiangxi,Mainland China,2020-02-19T01:23:07,934,1,362 9 | Jiangsu,Mainland China,2020-02-19T12:13:08,631,0,318 10 | Diamond Princess cruise ship,Others,2020-02-19T20:33:02,621,0,1 11 | Chongqing,Mainland China,2020-02-19T23:23:02,560,5,274 12 | Shandong,Mainland China,2020-02-19T12:03:07,544,3,231 13 | Sichuan,Mainland China,2020-02-19T13:53:02,514,3,188 14 | Heilongjiang,Mainland China,2020-02-19T11:03:08,470,12,120 15 | Beijing,Mainland China,2020-02-19T04:53:02,393,4,145 16 | Shanghai,Mainland China,2020-02-19T04:43:02,333,2,186 17 | Hebei,Mainland China,2020-02-19T13:23:02,306,4,152 18 | Fujian,Mainland China,2020-02-19T11:53:02,293,0,112 19 | Guangxi,Mainland China,2020-02-19T09:13:12,244,2,86 20 | Shaanxi,Mainland China,2020-02-19T10:23:02,242,0,102 21 | Yunnan,Mainland China,2020-02-19T23:33:02,172,1,60 22 | Hainan,Mainland China,2020-02-19T23:43:02,168,4,84 23 | Guizhou,Mainland China,2020-02-19T10:53:02,146,2,70 24 | Shanxi,Mainland China,2020-02-19T23:53:02,131,0,68 25 | Tianjin,Mainland China,2020-02-19T13:03:03,130,3,54 26 | Liaoning,Mainland China,2020-02-19T01:23:07,121,1,55 27 | Gansu,Mainland China,2020-02-19T13:53:02,91,2,65 28 | Jilin,Mainland China,2020-02-19T06:03:08,90,1,37 29 | ,Japan,2020-02-19T20:33:02,84,1,18 30 | ,Singapore,2020-02-19T22:13:08,84,0,34 31 | Xinjiang,Mainland China,2020-02-19T07:03:07,76,1,20 32 | Inner Mongolia,Mainland China,2020-02-19T11:03:08,75,0,10 33 | Ningxia,Mainland China,2020-02-19T01:53:02,71,0,42 34 | Hong Kong,Hong Kong,2020-02-19T12:13:08,63,2,5 35 | ,Thailand,2020-02-17T07:33:02,35,0,15 36 | ,South Korea,2020-02-18T03:43:02,31,0,12 37 | Taiwan,Taiwan,2020-02-19T07:53:02,23,1,2 38 | ,Malaysia,2020-02-19T09:33:03,22,0,15 39 | Qinghai,Mainland China,2020-02-19T04:53:02,18,0,16 40 | ,Germany,2020-02-18T17:03:03,16,0,12 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-15T20:53:02,12,1,4 43 | Macau,Macau,2020-02-16T12:03:06,10,0,5 44 | ,UK,2020-02-16T16:23:06,9,0,8 45 | ,United Arab Emirates,2020-02-16T20:43:02,9,0,4 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | British Columbia,Canada,2020-02-17T08:03:07,5,0,0 48 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 49 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 50 | ,India,2020-02-16T07:43:02,3,0,3 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Iran,2020-02-19T23:43:02,2,2,0 56 | ,Russia,2020-02-12T14:43:03,2,0,2 57 | ,Spain,2020-02-15T17:23:04,2,0,2 58 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 59 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 60 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 61 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 62 | ,Belgium,2020-02-17T04:23:06,1,0,1 63 | ,Cambodia,2020-02-12T07:43:02,1,0,1 64 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 65 | ,Egypt,2020-02-14T23:53:02,1,0,0 66 | ,Finland,2020-02-12T00:03:12,1,0,1 67 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 68 | ,Nepal,2020-02-12T14:43:03,1,0,1 69 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 70 | ,Sweden,2020-02-01T02:13:26,1,0,0 71 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 72 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 73 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 74 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 75 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 76 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 77 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 78 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-20-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-20T23:43:02,62442,2144,11788 3 | Guangdong,Mainland China,2020-02-20T11:13:27,1332,5,642 4 | Henan,Mainland China,2020-02-20T13:53:06,1265,19,637 5 | Zhejiang,Mainland China,2020-02-20T11:13:27,1175,1,633 6 | Hunan,Mainland China,2020-02-20T11:13:27,1010,4,634 7 | Anhui,Mainland China,2020-02-20T09:53:02,987,6,474 8 | Jiangxi,Mainland China,2020-02-20T05:23:02,934,1,433 9 | Diamond Princess cruise ship,Others,2020-02-20T15:53:03,634,2,1 10 | Jiangsu,Mainland China,2020-02-20T12:53:02,631,0,356 11 | Chongqing,Mainland China,2020-02-20T23:13:05,567,6,299 12 | Shandong,Mainland China,2020-02-20T11:13:27,546,4,254 13 | Sichuan,Mainland China,2020-02-20T09:53:02,520,3,217 14 | Heilongjiang,Mainland China,2020-02-20T09:43:01,476,12,136 15 | Beijing,Mainland China,2020-02-20T01:43:01,395,4,153 16 | Shanghai,Mainland China,2020-02-20T06:03:03,334,2,199 17 | Hebei,Mainland China,2020-02-20T11:13:27,307,5,169 18 | Fujian,Mainland China,2020-02-20T12:23:02,293,1,126 19 | Guangxi,Mainland China,2020-02-20T09:43:01,245,2,90 20 | Shaanxi,Mainland China,2020-02-20T09:53:02,245,1,118 21 | Yunnan,Mainland China,2020-02-20T23:13:05,174,2,79 22 | Hainan,Mainland China,2020-02-20T09:53:02,168,4,86 23 | Guizhou,Mainland China,2020-02-20T09:43:01,146,2,72 24 | Shanxi,Mainland China,2020-02-20T23:13:05,132,0,76 25 | Tianjin,Mainland China,2020-02-20T12:53:02,131,3,59 26 | Liaoning,Mainland China,2020-02-20T06:23:02,121,1,59 27 | ,South Korea,2020-02-20T09:53:02,104,1,16 28 | ,Japan,2020-02-20T15:53:03,94,1,18 29 | Gansu,Mainland China,2020-02-20T14:13:17,91,2,71 30 | Jilin,Mainland China,2020-02-20T09:43:01,91,1,43 31 | ,Singapore,2020-02-19T22:13:08,84,0,34 32 | Xinjiang,Mainland China,2020-02-20T13:33:02,76,1,22 33 | Inner Mongolia,Mainland China,2020-02-20T12:53:02,75,0,16 34 | Ningxia,Mainland China,2020-02-20T05:23:02,71,0,44 35 | Hong Kong,Hong Kong,2020-02-20T23:13:05,68,2,6 36 | ,Thailand,2020-02-17T07:33:02,35,0,15 37 | Taiwan,Taiwan,2020-02-20T02:13:19,24,1,2 38 | ,Malaysia,2020-02-19T09:33:03,22,0,15 39 | Qinghai,Mainland China,2020-02-19T04:53:02,18,0,16 40 | ,Germany,2020-02-18T17:03:03,16,0,12 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-15T20:53:02,12,1,4 43 | Macau,Macau,2020-02-20T02:13:19,10,0,6 44 | ,UK,2020-02-16T16:23:06,9,0,8 45 | ,United Arab Emirates,2020-02-16T20:43:02,9,0,4 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | British Columbia,Canada,2020-02-17T08:03:07,5,0,0 48 | ,Iran,2020-02-20T17:33:02,5,2,0 49 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 50 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 51 | ,India,2020-02-16T07:43:02,3,0,3 52 | ,Italy,2020-02-07T17:53:02,3,0,0 53 | ,Philippines,2020-02-12T07:43:02,3,1,1 54 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 55 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 56 | ,Russia,2020-02-12T14:43:03,2,0,2 57 | ,Spain,2020-02-15T17:23:04,2,0,2 58 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 59 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 60 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 61 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 62 | ,Belgium,2020-02-17T04:23:06,1,0,1 63 | ,Cambodia,2020-02-12T07:43:02,1,0,1 64 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 65 | ,Egypt,2020-02-14T23:53:02,1,0,0 66 | ,Finland,2020-02-12T00:03:12,1,0,1 67 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 68 | ,Nepal,2020-02-12T14:43:03,1,0,1 69 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 70 | ,Sweden,2020-02-01T02:13:26,1,0,0 71 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 72 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 73 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 74 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 75 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 76 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 77 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 78 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-18-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-18T23:13:11,61682,1921,9128 3 | Guangdong,Mainland China,2020-02-18T13:43:02,1328,4,565 4 | Henan,Mainland China,2020-02-18T14:23:02,1257,19,522 5 | Zhejiang,Mainland China,2020-02-18T12:23:02,1172,0,535 6 | Hunan,Mainland China,2020-02-18T13:43:02,1007,4,527 7 | Anhui,Mainland China,2020-02-18T13:43:02,982,6,361 8 | Jiangxi,Mainland China,2020-02-18T01:33:01,933,1,310 9 | Jiangsu,Mainland China,2020-02-18T12:33:02,629,0,280 10 | Chongqing,Mainland China,2020-02-18T23:23:03,555,5,254 11 | Shandong,Mainland China,2020-02-18T12:13:08,543,3,211 12 | Diamond Princess cruise ship,Others,2020-02-18T16:53:03,542,0,0 13 | Sichuan,Mainland China,2020-02-18T12:33:02,508,3,169 14 | Heilongjiang,Mainland China,2020-02-18T11:03:12,464,11,111 15 | Beijing,Mainland China,2020-02-18T02:13:06,387,4,122 16 | Shanghai,Mainland China,2020-02-18T05:03:08,333,1,177 17 | Hebei,Mainland China,2020-02-18T23:53:01,306,4,136 18 | Fujian,Mainland China,2020-02-18T09:43:08,292,0,93 19 | Guangxi,Mainland China,2020-02-18T12:33:02,242,2,69 20 | Shaanxi,Mainland China,2020-02-18T14:23:02,240,0,89 21 | Yunnan,Mainland China,2020-02-18T09:43:08,172,0,57 22 | Hainan,Mainland China,2020-02-18T10:43:02,163,4,79 23 | Guizhou,Mainland China,2020-02-18T13:33:02,146,2,66 24 | Shanxi,Mainland China,2020-02-18T23:23:03,131,0,61 25 | Tianjin,Mainland China,2020-02-18T13:53:02,128,3,48 26 | Liaoning,Mainland China,2020-02-18T12:53:02,121,1,53 27 | Gansu,Mainland China,2020-02-18T14:53:02,91,2,62 28 | Jilin,Mainland China,2020-02-18T07:43:02,89,1,36 29 | ,Singapore,2020-02-18T16:53:03,81,0,29 30 | Xinjiang,Mainland China,2020-02-18T01:03:15,76,1,12 31 | ,Japan,2020-02-18T17:23:04,74,1,13 32 | Inner Mongolia,Mainland China,2020-02-18T02:03:06,73,0,8 33 | Ningxia,Mainland China,2020-02-18T10:23:03,70,0,42 34 | Hong Kong,Hong Kong,2020-02-18T23:43:02,62,1,2 35 | ,Thailand,2020-02-17T07:33:02,35,0,15 36 | ,South Korea,2020-02-18T03:43:02,31,0,12 37 | ,Malaysia,2020-02-18T16:23:02,22,0,13 38 | Taiwan,Taiwan,2020-02-17T15:43:02,22,1,2 39 | Qinghai,Mainland China,2020-02-18T07:43:02,18,0,15 40 | ,Germany,2020-02-18T17:03:03,16,0,12 41 | ,Vietnam,2020-02-13T06:33:02,16,0,7 42 | ,France,2020-02-15T20:53:02,12,1,4 43 | Macau,Macau,2020-02-16T12:03:06,10,0,5 44 | ,UK,2020-02-16T16:23:06,9,0,8 45 | ,United Arab Emirates,2020-02-16T20:43:02,9,0,4 46 | Queensland,Australia,2020-02-09T19:33:02,5,0,0 47 | British Columbia,Canada,2020-02-17T08:03:07,5,0,0 48 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 49 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 50 | ,India,2020-02-16T07:43:02,3,0,3 51 | ,Italy,2020-02-07T17:53:02,3,0,0 52 | ,Philippines,2020-02-12T07:43:02,3,1,1 53 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 54 | "Toronto, ON",Canada,2020-02-04T00:13:06,2,0,0 55 | ,Russia,2020-02-12T14:43:03,2,0,2 56 | ,Spain,2020-02-15T17:23:04,2,0,2 57 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 58 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 59 | "San Diego County, CA",US,2020-02-13T03:13:08,2,0,0 60 | "Santa Clara, CA",US,2020-02-03T00:43:02,2,0,0 61 | ,Belgium,2020-02-17T04:23:06,1,0,1 62 | ,Cambodia,2020-02-12T07:43:02,1,0,1 63 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 64 | ,Egypt,2020-02-14T23:53:02,1,0,0 65 | ,Finland,2020-02-12T00:03:12,1,0,1 66 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 67 | ,Nepal,2020-02-12T14:43:03,1,0,1 68 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 69 | ,Sweden,2020-02-01T02:13:26,1,0,0 70 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 71 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 72 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 73 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 74 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 75 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 76 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-21-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-21T13:03:09,62662,2144,11881 3 | Guangdong,Mainland China,2020-02-21T10:13:09,1333,5,690 4 | Henan,Mainland China,2020-02-21T13:43:02,1267,19,736 5 | Zhejiang,Mainland China,2020-02-21T10:23:02,1203,1,679 6 | Hunan,Mainland China,2020-02-21T15:13:07,1011,4,661 7 | Anhui,Mainland China,2020-02-21T10:13:09,988,6,539 8 | Jiangxi,Mainland China,2020-02-21T01:13:05,934,1,489 9 | Shandong,Mainland China,2020-02-21T10:23:02,749,4,281 10 | Diamond Princess cruise ship,Others,2020-02-20T15:53:03,634,2,1 11 | Jiangsu,Mainland China,2020-02-21T11:43:01,631,0,373 12 | Chongqing,Mainland China,2020-02-21T23:13:14,572,6,316 13 | Sichuan,Mainland China,2020-02-21T12:53:01,525,3,231 14 | Heilongjiang,Mainland China,2020-02-21T11:43:01,479,12,175 15 | Beijing,Mainland China,2020-02-21T01:03:09,396,4,169 16 | Shanghai,Mainland China,2020-02-21T05:53:01,334,2,211 17 | Hebei,Mainland China,2020-02-21T12:53:01,308,5,184 18 | Fujian,Mainland China,2020-02-21T11:43:01,293,1,149 19 | Guangxi,Mainland China,2020-02-21T11:43:01,246,2,97 20 | Shaanxi,Mainland China,2020-02-21T11:43:01,245,1,134 21 | ,South Korea,2020-02-21T13:43:02,204,2,16 22 | Yunnan,Mainland China,2020-02-21T06:23:04,174,2,96 23 | Hainan,Mainland China,2020-02-21T10:13:09,168,4,95 24 | Guizhou,Mainland China,2020-02-21T12:53:01,146,2,77 25 | Shanxi,Mainland China,2020-02-21T23:33:06,132,0,78 26 | Tianjin,Mainland China,2020-02-21T12:53:01,132,3,62 27 | Liaoning,Mainland China,2020-02-21T01:33:02,121,1,61 28 | ,Japan,2020-02-21T19:03:06,105,1,22 29 | Gansu,Mainland China,2020-02-21T15:13:07,91,2,76 30 | Jilin,Mainland China,2020-02-21T10:13:09,91,1,45 31 | ,Singapore,2020-02-21T03:43:02,85,0,37 32 | Xinjiang,Mainland China,2020-02-21T13:43:02,76,1,24 33 | Inner Mongolia,Mainland China,2020-02-21T08:03:15,75,0,17 34 | Ningxia,Mainland China,2020-02-21T06:23:04,71,0,48 35 | Hong Kong,Hong Kong,2020-02-21T03:43:02,68,2,5 36 | ,Thailand,2020-02-21T18:53:02,35,0,17 37 | Taiwan,Taiwan,2020-02-21T06:53:03,26,1,2 38 | ,Malaysia,2020-02-19T09:33:03,22,0,15 39 | ,Italy,2020-02-21T23:33:06,20,1,0 40 | ,Iran,2020-02-21T18:53:02,18,4,0 41 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18 42 | ,Germany,2020-02-21T23:03:13,16,0,14 43 | ,Vietnam,2020-02-21T06:03:04,16,0,14 44 | ,France,2020-02-15T20:53:02,12,1,4 45 | "Ashland, NE",US,2020-02-21T23:23:06,11,0,0 46 | Macau,Macau,2020-02-20T02:13:19,10,0,6 47 | ,UK,2020-02-16T16:23:06,9,0,8 48 | ,United Arab Emirates,2020-02-16T20:43:02,9,0,4 49 | British Columbia,Canada,2020-02-21T05:23:04,6,0,0 50 | Queensland,Australia,2020-02-21T05:43:02,5,0,1 51 | "Travis, CA",US,2020-02-21T23:23:06,5,0,0 52 | From Diamond Princess,Australia,2020-02-21T23:03:13,4,0,0 53 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 54 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 55 | ,India,2020-02-16T07:43:02,3,0,3 56 | ,Philippines,2020-02-12T07:43:02,3,1,1 57 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 58 | "Toronto, ON",Canada,2020-02-21T05:23:04,2,0,2 59 | ,Russia,2020-02-12T14:43:03,2,0,2 60 | ,Spain,2020-02-15T17:23:04,2,0,2 61 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 62 | "Lackland, TX",US,2020-02-21T23:23:06,2,0,0 63 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 64 | "San Diego County, CA",US,2020-02-21T05:43:02,2,0,1 65 | "Santa Clara, CA",US,2020-02-21T05:23:04,2,0,1 66 | ,Belgium,2020-02-17T04:23:06,1,0,1 67 | ,Cambodia,2020-02-12T07:43:02,1,0,1 68 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 69 | ,Egypt,2020-02-21T18:53:02,1,0,0 70 | ,Finland,2020-02-12T00:03:12,1,0,1 71 | From Diamond Princess,Israel,2020-02-21T15:33:03,1,0,0 72 | None,Lebanon,2020-02-21T15:33:03,1,0,0 73 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 74 | ,Nepal,2020-02-12T14:43:03,1,0,1 75 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 76 | ,Sweden,2020-02-01T02:13:26,1,0,0 77 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 78 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0 79 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 80 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 81 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 82 | "Sacramento County, CA",US,2020-02-21T23:13:16,1,0,0 83 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 84 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 85 | "Tempe, AZ",US,2020-02-01T19:43:03,1,0,0 86 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # covid-19-EDA-tutorial 2 | 3 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hugobowne/COVID-19-EDA-tutorial/954079585c2e1e3405a2b25b1328cf0561daee32) 4 | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hugobowne/COVID-19-EDA-tutorial/blob/master/notebooks/1-COVID-19-EDA.ipynb) 5 | 6 | This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack. 7 | 8 | It is not intended to encourage people to create & publish their own data visualizations. In fact, as [this thoughtful essay](https://medium.com/nightingale/ten-considerations-before-you-create-another-chart-about-covid-19-27d3bd691be8) makes clear, in many cases it is irresponsible to publish amateur visualizations, which at best will dilute those that experts with domain expertise are publishing. We won't be making any predictions or doing any statistical modelling, although we may look critically at some other models. 9 | 10 | ## Prerequisites 11 | 12 | Not a lot. It would help if you knew 13 | 14 | * programming fundamentals and the basics of the Python programming language (e.g., variables, for loops); 15 | * a bit about `pandas` and DataFrames; 16 | * a bit about Jupyter Notebooks; 17 | * your way around the terminal/shell. 18 | 19 | 20 | **However, I have always found that the most important and beneficial prerequisite is a will to learn new things so if you have this quality, you'll definitely get something out of this code-along session.** 21 | 22 | Also, if you'd like to watch and **not** code along, you'll also have a great time and these notebooks will be downloadable afterwards also. 23 | 24 | If you are going to code along and use the [Anaconda distribution](https://www.anaconda.com/download/) of Python 3 (see below), I ask that you install it before the session. 25 | 26 | **Note:** We may be making some live submissions to [Kaggle](https://www.kaggle.com) so, if you want to do that, get yourself an account before the session. 27 | 28 | 29 | ## Getting set up computationally 30 | 31 | [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/hugobowne/COVID-19-EDA-tutorial/954079585c2e1e3405a2b25b1328cf0561daee32) 32 | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hugobowne/COVID-19-EDA-tutorial/blob/master/notebooks/1-COVID-19-EDA.ipynb) 33 | 34 | The first option is to click on either the [Binder](https://mybinder.readthedocs.io/en/latest/) or [Colab](https://research.google.com/colaboratory/faq.html) badge above. These will spin up the necessary computational environment for you so you can write and execute Python code from the comfort of your browser. They are free services. Due to this, the resources are not guaranteed, though they usually work well. If you want as close to a guarantee as possible, follow the instructions below to set up your computational environment locally (that is, on your own computer). 35 | 36 | 37 | 38 | ### 1. Clone the repository 39 | 40 | To get set up for this live coding session, clone this repository. You can do so by executing the following in your terminal: 41 | 42 | ``` 43 | git clone https://github.com/hugobowne/covid-19-EDA-tutorial 44 | ``` 45 | 46 | Alternatively, you can download the zip file of the repository at the top of the main page of the repository. If you prefer not to use git or don't have experience with it, this a good option. 47 | 48 | ### 2. Download Anaconda (if you haven't already) 49 | 50 | If you do not already have the [Anaconda distribution](https://www.anaconda.com/download/) of Python 3, go get it (n.b., you can also do this w/out Anaconda using `pip` to install the required packages, however Anaconda is great for Data Science and I encourage you to use it). 51 | 52 | ### 3. Create your conda environment for this session 53 | 54 | Navigate to the relevant directory `covid-19-EDA-tutorial` and install required packages in a new conda environment: 55 | 56 | ``` 57 | conda env create -f environment.yml 58 | ``` 59 | 60 | This will create a new environment called covid_19_eda. To activate the environment on OSX/Linux, execute 61 | 62 | ``` 63 | source activate covid_19_eda 64 | ``` 65 | On Windows, execute 66 | 67 | ``` 68 | activate covid_19_eda 69 | ``` 70 | 71 | 72 | ### 4. Open your Jupyter notebook 73 | 74 | In the terminal, execute `jupyter notebook`. 75 | 76 | Then open the notebook `1-COVID-19-EDA.ipynb` and we're ready to get coding. Enjoy. 77 | 78 | 79 | ### Code 80 | The code in this repository is released under the [MIT license](LICENSE). Read more at the [Open Source Initiative](https://opensource.org/licenses/MIT). All text remains the Intellectual Property of DataCamp. If you wish to reuse, adapt or remix, get in touch with me at hugo at datacamp com to request permission. 81 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-26-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-26T14:13:10,65187,2615,20969 3 | Guangdong,Mainland China,2020-02-26T10:33:02,1347,7,851 4 | Henan,Mainland China,2020-02-26T10:33:02,1271,19,1033 5 | ,South Korea,2020-02-26T11:03:11,1261,12,22 6 | Zhejiang,Mainland China,2020-02-26T10:33:02,1205,1,867 7 | Hunan,Mainland China,2020-02-26T10:13:11,1016,4,783 8 | Anhui,Mainland China,2020-02-26T10:13:11,989,6,744 9 | Jiangxi,Mainland China,2020-02-26T01:13:04,934,1,719 10 | Shandong,Mainland China,2020-02-26T12:43:02,756,6,377 11 | Diamond Princess cruise ship,Others,2020-02-26T19:33:02,705,4,10 12 | Jiangsu,Mainland China,2020-02-26T10:13:11,631,0,478 13 | Chongqing,Mainland China,2020-02-26T23:43:02,576,6,384 14 | Sichuan,Mainland China,2020-02-26T10:13:11,531,3,307 15 | Heilongjiang,Mainland China,2020-02-26T10:33:02,480,12,249 16 | ,Italy,2020-02-26T23:43:03,453,12,3 17 | Beijing,Mainland China,2020-02-26T00:53:02,400,4,235 18 | Shanghai,Mainland China,2020-02-26T23:53:01,337,3,272 19 | Hebei,Mainland China,2020-02-26T10:33:02,312,6,261 20 | Fujian,Mainland China,2020-02-26T10:33:02,294,1,218 21 | Guangxi,Mainland China,2020-02-26T14:13:10,252,2,147 22 | Shaanxi,Mainland China,2020-02-26T14:13:10,245,1,192 23 | ,Japan,2020-02-26T23:43:03,189,2,22 24 | Yunnan,Mainland China,2020-02-26T05:13:16,174,2,144 25 | Hainan,Mainland China,2020-02-26T12:43:02,168,5,129 26 | Guizhou,Mainland China,2020-02-25T08:03:07,146,2,104 27 | ,Iran,2020-02-26T23:43:03,139,19,49 28 | Tianjin,Mainland China,2020-02-26T12:43:02,135,3,96 29 | Shanxi,Mainland China,2020-02-26T14:13:10,133,0,104 30 | Liaoning,Mainland China,2020-02-26T00:13:05,121,1,88 31 | Jilin,Mainland China,2020-02-26T14:13:10,93,1,65 32 | ,Singapore,2020-02-26T19:33:02,93,0,62 33 | Hong Kong,Hong Kong,2020-02-26T23:43:02,91,2,24 34 | Gansu,Mainland China,2020-02-26T14:13:10,91,2,81 35 | Xinjiang,Mainland China,2020-02-26T14:23:03,76,2,34 36 | Inner Mongolia,Mainland China,2020-02-26T15:03:05,75,0,38 37 | Ningxia,Mainland China,2020-02-26T03:53:01,71,0,65 38 | Unassigned Location (From Diamond Princess),US,2020-02-26T20:03:06,42,0,0 39 | ,Thailand,2020-02-26T07:23:03,40,0,22 40 | ,Bahrain,2020-02-26T21:03:07,33,0,0 41 | Taiwan,Taiwan,2020-02-26T12:23:04,32,1,5 42 | ,Germany,2020-02-26T23:43:03,27,0,15 43 | ,Kuwait,2020-02-26T19:23:04,26,0,0 44 | ,Malaysia,2020-02-24T11:53:02,22,0,18 45 | ,France,2020-02-26T20:03:06,18,2,11 46 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18 47 | ,Vietnam,2020-02-25T08:53:02,16,0,16 48 | ,Spain,2020-02-26T20:43:02,13,0,2 49 | ,UK,2020-02-24T08:33:02,13,0,8 50 | ,United Arab Emirates,2020-02-22T14:53:02,13,0,4 51 | Macau,Macau,2020-02-25T15:23:04,10,0,7 52 | From Diamond Princess,Australia,2020-02-22T17:03:05,7,0,0 53 | British Columbia,Canada,2020-02-25T02:23:05,7,0,0 54 | Queensland,Australia,2020-02-21T05:43:02,5,0,1 55 | ,Iraq,2020-02-26T04:53:02,5,0,0 56 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 57 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 58 | ,Oman,2020-02-26T04:53:02,4,0,0 59 | "Toronto, ON",Canada,2020-02-24T14:43:03,3,0,2 60 | ,Croatia,2020-02-26T20:03:06,3,0,0 61 | ,India,2020-02-16T07:43:02,3,0,3 62 | ,Philippines,2020-02-12T07:43:02,3,1,1 63 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 64 | ,Austria,2020-02-26T00:13:06,2,0,0 65 | ,Finland,2020-02-26T19:03:08,2,0,1 66 | ,Israel,2020-02-26T20:33:02,2,0,0 67 | ,Lebanon,2020-02-26T19:33:02,2,0,0 68 | ,Pakistan,2020-02-26T23:53:02,2,0,0 69 | ,Russia,2020-02-12T14:43:03,2,0,2 70 | ,Sweden,2020-02-26T18:53:02,2,0,0 71 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 72 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 73 | "San Diego County, CA",US,2020-02-21T05:43:02,2,0,1 74 | "Santa Clara, CA",US,2020-02-21T05:23:04,2,0,1 75 | ,Afghanistan,2020-02-24T23:33:02,1,0,0 76 | ,Algeria,2020-02-25T23:43:03,1,0,0 77 | ,Belgium,2020-02-17T04:23:06,1,0,1 78 | ,Brazil,2020-02-26T23:53:02,1,0,0 79 | ,Cambodia,2020-02-12T07:43:02,1,0,1 80 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 81 | ,Egypt,2020-02-21T18:53:02,1,0,0 82 | ,Georgia,2020-02-26T19:03:08,1,0,0 83 | ,Greece,2020-02-26T15:53:05,1,0,0 84 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 85 | ,Nepal,2020-02-12T14:43:03,1,0,1 86 | ,North Macedonia,2020-02-26T19:03:08,1,0,0 87 | ,Norway,2020-02-26T20:23:12,1,0,0 88 | ,Romania,2020-02-26T23:43:03,1,0,0 89 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 90 | ,Switzerland,2020-02-25T19:13:21,1,0,0 91 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 92 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0 93 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 94 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 95 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 96 | "Sacramento County, CA",US,2020-02-21T23:13:16,1,0,0 97 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 98 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 99 | "Tempe, AZ",US,2020-02-25T21:23:03,1,0,1 100 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 101 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 102 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 103 | -------------------------------------------------------------------------------- /csse_covid_19_data/README.md: -------------------------------------------------------------------------------- 1 | # CSSE COVID-19 Dataset 2 | 3 | ## Daily reports (csse_covid_19_daily_reports) 4 | 5 | This folder contains daily case reports. All timestamps are in UTC (GMT+0). 6 | 7 | ### File naming convention 8 | MM-DD-YYYY.csv in UTC. 9 | 10 | ### Field description 11 | * Province/State: China - province name; US/Canada/Australia/ - city name, state/province name; Others - name of the event (e.g., "Diamond Princess" cruise ship); other countries - blank. 12 | * Country/Region: country/region name conforming to WHO (will be updated). 13 | * Last Update: MM/DD/YYYY HH:mm (24 hour format, in UTC). 14 | * Confirmed: the number of confirmed cases. For Hubei Province: from Feb 13 (GMT +8), we report both clinically diagnosed and lab-confirmed cases. For lab-confirmed cases only (Before Feb 17), please refer to [who_covid_19_situation_reports](https://github.com/CSSEGISandData/COVID-19/tree/master/who_covid_19_situation_reports). For Italy, diagnosis standard might be changed since Feb 27 to "slow the growth of new case numbers." ([Source](https://apnews.com/6c7e40fbec09858a3b4dbd65fe0f14f5)) 15 | * Deaths: the number of deaths. 16 | * Recovered: the number of recovered cases. 17 | 18 | ### Update frequency 19 | * Files after Feb 1 (UTC): once a day around 23:59 (UTC). 20 | * Files on and before Feb 1 (UTC): the last updated files before 23:59 (UTC). Sources: [archived_data](https://github.com/CSSEGISandData/COVID-19/tree/master/archived_data) and dashboard. 21 | 22 | ### Data sources 23 | Refer to the [mainpage](https://github.com/CSSEGISandData/COVID-19). 24 | 25 | ### Why create this new folder? 26 | 1. Unifying all timestamps to UTC, including the file name and the "Last Update" field. 27 | 2. Pushing only one file every day. 28 | 3. All historic data is archived in [archived_data](https://github.com/CSSEGISandData/COVID-19/tree/master/archived_data). 29 | 30 | --- 31 | ## Time series summary (csse_covid_19_time_series) 32 | 33 | This folder contains daily time series summary tables, including confirmed, deaths and recovered. All data are from the daily case report. 34 | 35 | ### Field descriptioin 36 | * Province/State: same as above. 37 | * Country/Region: same as above. 38 | * Lat and Long: a coordinates reference for the user. 39 | * Date fields: M/DD/YYYY (UTC), the same data as MM-DD-YYYY.csv file. 40 | 41 | ### Update frequency 42 | * Once a day. 43 | 44 | --- 45 | ## Data modification records 46 | We are also monitoring the curve change. Any errors made by us will be corrected in the dataset. Any possible errors from the original data sources will be listed here as a reference. 47 | * NHC 2/14: Hubei Province deducted 108 prior deaths from the death toll due to double counting. 48 | * About DP 3/1: All cases of COVID-19 in repatriated US citizens from the Diamond Princess are grouped together, and their location is currently designated at the ship’s port location off the coast of Japan. These individuals have been assigned to various quarantine locations (in military bases and hospitals) around the US. This grouping is consistent with the CDC. 49 | 50 | --- 51 | ## UID Lookup Table Logic 52 | 53 | 1. All countries without dependencies (entries with only Admin0). 54 | * None cruise ship Admin0: UID = code3. (e.g., Afghanistan, UID = code3 = 4) 55 | * Cruise ships in Admin0: Diamond Princess UID = 9999, MS Zaandam UID = 8888. 56 | 2. All countries with only state-level dependencies (entries with Admin0 and Admin1). 57 | * Demark, France, Netherlands: mother countries and their dependencies have different code3, therefore UID = code 3. (e.g., Faroe Islands, Denmark, UID = code3 = 234; Denmark UID = 208) 58 | * United Kingdom: the mother country and dependencies have different code3s, therefore UID = code 3. One exception: Channel Islands is using the same code3 as the mother country (826), and its artificial UID = 8261. 59 | * Australia: alphabetically ordered all states, and their UIDs are from 3601 to 3608. Australia itself is 36. 60 | * Canada: alphabetically ordered all provinces (including cruise ships and recovered entry), and their UIDs are from 12401 to 12415. Canada itself is 124. 61 | * China: alphabetically ordered all provinces, and their UIDs are from 15601 to 15631. China itself is 156. Hong Kong and Macau have their own code3. 62 | 3. The US (most entries with Admin0, Admin1 and Admin2). 63 | * US by itself is 840 (UID = code3). 64 | * US dependencies, American Samoa, Guam, Northern Mariana Islands, Virgin Islands and Puerto Rico, UID = code3. Their FIPS codes are different from code3. 65 | * US states: UID = 840 (country code3) + 000XX (state FIPS code). Ranging from 8400001 to 84000056. 66 | * Out of [State], US: UID = 840 (country code3) + 800XX (state FIPS code). Ranging from 8408001 to 84080056. 67 | * Unassigned, US: UID = 840 (country code3) + 900XX (state FIPS code). Ranging from 8409001 to 84090056. 68 | * US counties: UID = 840 (country code3) + XXXXX (5-digit FIPS code). 69 | * Exception type 1, such as recovered and Kansas City, ranging from 8407001 to 8407999. 70 | * Exception type 2, only the New York City, which is replacing New York County and its FIPS code. 71 | * Exception type 3, Diamond Princess, US: 84088888; Grand Princess, US: 84099999. 72 | 73 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/02-27-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered 2 | Hubei,Mainland China,2020-02-27T12:13:14,65596,2641,23383 3 | ,South Korea,2020-02-27T12:03:04,1766,13,22 4 | Guangdong,Mainland China,2020-02-27T09:53:02,1347,7,890 5 | Henan,Mainland China,2020-02-27T15:03:11,1272,20,1068 6 | Zhejiang,Mainland China,2020-02-27T12:43:02,1205,1,932 7 | Hunan,Mainland China,2020-02-27T12:43:02,1017,4,804 8 | Anhui,Mainland China,2020-02-27T14:13:06,989,6,792 9 | Jiangxi,Mainland China,2020-02-27T01:43:02,934,1,754 10 | Shandong,Mainland China,2020-02-27T14:13:06,756,6,387 11 | Diamond Princess cruise ship,Others,2020-02-26T19:33:02,705,4,10 12 | ,Italy,2020-02-27T23:23:02,655,17,45 13 | Jiangsu,Mainland China,2020-02-27T14:13:06,631,0,498 14 | Chongqing,Mainland China,2020-02-27T23:23:02,576,6,401 15 | Sichuan,Mainland China,2020-02-27T12:43:02,534,3,321 16 | Heilongjiang,Mainland China,2020-02-27T12:43:02,480,13,270 17 | Beijing,Mainland China,2020-02-27T02:23:13,410,5,248 18 | Shanghai,Mainland China,2020-02-27T04:03:12,337,3,276 19 | Hebei,Mainland China,2020-02-27T12:43:02,317,6,274 20 | Fujian,Mainland China,2020-02-27T10:03:07,296,1,228 21 | Guangxi,Mainland China,2020-02-27T10:03:07,252,2,161 22 | ,Iran,2020-02-27T12:03:04,245,26,49 23 | Shaanxi,Mainland China,2020-02-27T12:43:02,245,1,195 24 | ,Japan,2020-02-27T23:33:02,214,4,22 25 | Yunnan,Mainland China,2020-02-27T10:03:07,174,2,150 26 | Hainan,Mainland China,2020-02-27T10:03:07,168,5,131 27 | Guizhou,Mainland China,2020-02-27T00:43:02,146,2,112 28 | Tianjin,Mainland China,2020-02-27T23:13:04,136,3,102 29 | Shanxi,Mainland China,2020-02-27T23:13:04,133,0,107 30 | Liaoning,Mainland China,2020-02-27T14:13:06,121,1,93 31 | Jilin,Mainland China,2020-02-27T12:43:02,93,1,67 32 | ,Singapore,2020-02-26T19:33:02,93,0,62 33 | Hong Kong,Hong Kong,2020-02-27T09:53:02,92,2,24 34 | Gansu,Mainland China,2020-02-26T14:13:10,91,2,81 35 | Xinjiang,Mainland China,2020-02-27T12:43:02,76,2,43 36 | Inner Mongolia,Mainland China,2020-02-27T23:33:02,75,0,43 37 | Ningxia,Mainland China,2020-02-27T10:03:07,72,0,68 38 | ,Germany,2020-02-27T23:13:04,46,0,16 39 | ,Kuwait,2020-02-27T13:33:03,43,0,0 40 | Unassigned Location (From Diamond Princess),US,2020-02-26T20:03:06,42,0,0 41 | ,Thailand,2020-02-26T07:23:03,40,0,22 42 | ,France,2020-02-27T22:13:10,38,2,11 43 | ,Bahrain,2020-02-26T21:03:07,33,0,0 44 | Taiwan,Taiwan,2020-02-26T12:23:04,32,1,5 45 | ,Malaysia,2020-02-27T15:13:13,23,0,18 46 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18 47 | ,Vietnam,2020-02-25T08:53:02,16,0,16 48 | ,Spain,2020-02-27T13:23:02,15,0,2 49 | ,UK,2020-02-27T13:23:02,15,0,8 50 | ,United Arab Emirates,2020-02-22T14:53:02,13,0,4 51 | Macau,Macau,2020-02-27T12:43:02,10,0,8 52 | From Diamond Princess,Australia,2020-02-27T03:33:06,8,0,0 53 | ,Switzerland,2020-02-27T23:03:11,8,0,0 54 | British Columbia,Canada,2020-02-27T03:33:06,7,0,3 55 | ,Iraq,2020-02-27T22:23:11,7,0,0 56 | ,Sweden,2020-02-27T20:33:02,7,0,0 57 | Queensland,Australia,2020-02-21T05:43:02,5,0,1 58 | "Toronto, ON",Canada,2020-02-27T22:43:02,5,0,2 59 | New South Wales,Australia,2020-02-13T17:53:03,4,0,4 60 | Victoria,Australia,2020-02-13T17:53:03,4,0,4 61 | ,Oman,2020-02-26T04:53:02,4,0,0 62 | ,Austria,2020-02-27T14:03:03,3,0,0 63 | ,Croatia,2020-02-26T20:03:06,3,0,0 64 | ,Greece,2020-02-27T14:03:03,3,0,0 65 | ,India,2020-02-16T07:43:02,3,0,3 66 | ,Israel,2020-02-27T14:03:03,3,0,1 67 | ,Philippines,2020-02-12T07:43:02,3,1,1 68 | South Australia,Australia,2020-02-17T08:13:09,2,0,2 69 | ,Finland,2020-02-26T19:03:08,2,0,1 70 | ,Lebanon,2020-02-26T19:33:02,2,0,0 71 | ,Pakistan,2020-02-26T23:53:02,2,0,0 72 | ,Russia,2020-02-12T14:43:03,2,0,2 73 | "Chicago, IL",US,2020-02-09T19:03:03,2,0,2 74 | "Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0 75 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0 76 | "San Diego County, CA",US,2020-02-21T05:43:02,2,0,1 77 | "Santa Clara, CA",US,2020-02-21T05:23:04,2,0,1 78 | ,Afghanistan,2020-02-24T23:33:02,1,0,0 79 | ,Algeria,2020-02-25T23:43:03,1,0,0 80 | ,Belgium,2020-02-17T04:23:06,1,0,1 81 | ,Brazil,2020-02-26T23:53:02,1,0,0 82 | ,Cambodia,2020-02-12T07:43:02,1,0,1 83 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1 84 | ,Denmark,2020-02-27T16:23:03,1,0,0 85 | ,Egypt,2020-02-21T18:53:02,1,0,0 86 | ,Estonia,2020-02-27T16:23:03,1,0,0 87 | ,Georgia,2020-02-27T16:23:03,1,0,0 88 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1 89 | ,Nepal,2020-02-12T14:43:03,1,0,1 90 | ,Netherlands,2020-02-27T21:13:10,1,0,0 91 | ,North Macedonia,2020-02-27T16:23:03,1,0,0 92 | ,Norway,2020-02-27T16:23:03,1,0,0 93 | ,Romania,2020-02-27T16:23:03,1,0,0 94 | ,San Marino,2020-02-27T21:13:10,1,0,0 95 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1 96 | "Boston, MA",US,2020-02-01T19:43:03,1,0,0 97 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0 98 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0 99 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0 100 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0 101 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0 102 | "Seattle, WA",US,2020-02-09T07:03:04,1,0,1 103 | "Tempe, AZ",US,2020-02-25T21:23:03,1,0,1 104 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 105 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 106 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0 107 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-01-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,Mainland China,2020-03-01T10:13:19,66907,2761,31536,30.9756,112.2707 3 | ,South Korea,2020-03-01T23:43:03,3736,17,30,36.0000,128.0000 4 | ,Italy,2020-03-01T23:23:02,1694,34,83,43.0000,12.0000 5 | Guangdong,Mainland China,2020-03-01T14:13:18,1349,7,1016,23.3417,113.4244 6 | Henan,Mainland China,2020-03-01T14:13:18,1272,22,1198,33.8820,113.6140 7 | Zhejiang,Mainland China,2020-03-01T10:13:33,1205,1,1046,29.1832,120.0934 8 | Hunan,Mainland China,2020-03-01T10:03:03,1018,4,866,27.6104,111.7088 9 | Anhui,Mainland China,2020-03-01T10:03:03,990,6,873,31.8257,117.2264 10 | ,Iran,2020-03-01T15:33:03,978,54,175,32.0000,53.0000 11 | Jiangxi,Mainland China,2020-03-01T01:13:10,935,1,831,27.6140,115.7221 12 | Shandong,Mainland China,2020-03-01T11:33:03,758,6,443,36.3427,118.1498 13 | Diamond Princess cruise ship,Others,2020-02-29T01:43:02,705,6,10,35.4437,139.6380 14 | Jiangsu,Mainland China,2020-03-01T10:03:03,631,0,536,32.9711,119.4550 15 | Chongqing,Mainland China,2020-03-01T23:13:08,576,6,450,30.0572,107.8740 16 | Sichuan,Mainland China,2020-03-01T11:43:02,538,3,365,30.6171,102.7103 17 | Heilongjiang,Mainland China,2020-03-01T11:33:03,480,13,342,47.8620,127.7615 18 | Beijing,Mainland China,2020-03-01T02:53:03,413,8,276,40.1824,116.4142 19 | Shanghai,Mainland China,2020-03-01T07:13:07,337,3,290,31.2020,121.4491 20 | Hebei,Mainland China,2020-03-01T14:13:18,318,6,294,38.0428,114.5149 21 | Fujian,Mainland China,2020-03-01T09:43:03,296,1,247,26.0789,117.9874 22 | ,Japan,2020-03-01T23:33:03,256,6,32,36.0000,138.0000 23 | Guangxi,Mainland China,2020-03-01T09:43:03,252,2,181,23.8298,108.7881 24 | Shaanxi,Mainland China,2020-03-01T09:43:03,245,1,208,35.1917,108.8701 25 | Yunnan,Mainland China,2020-03-01T07:13:07,174,2,163,24.9740,101.4870 26 | Hainan,Mainland China,2020-03-01T10:13:38,168,5,149,19.1959,109.7453 27 | Guizhou,Mainland China,2020-02-27T00:43:02,146,2,112,26.8154,106.8748 28 | Tianjin,Mainland China,2020-03-01T12:43:02,136,3,111,39.3054,117.3230 29 | Shanxi,Mainland China,2020-03-01T23:13:08,133,0,116,37.5777,112.2922 30 | ,France,2020-03-01T20:43:02,130,2,12,47.0000,2.0000 31 | ,Germany,2020-03-01T23:23:02,130,0,16,51.0000,9.0000 32 | Liaoning,Mainland China,2020-03-01T12:23:06,122,1,103,41.2956,122.6085 33 | ,Singapore,2020-03-01T23:23:02,106,0,72,1.2833,103.8333 34 | Hong Kong,Hong Kong,2020-03-01T14:33:16,96,2,36,22.3000,114.2000 35 | Jilin,Mainland China,2020-03-01T09:43:03,93,1,78,43.6661,126.1923 36 | Gansu,Mainland China,2020-03-01T14:33:17,91,2,84,36.0611,103.8343 37 | ,Spain,2020-03-01T23:33:03,84,0,2,40.0000,-4.0000 38 | Xinjiang,Mainland China,2020-03-01T10:03:03,76,3,64,41.1129,85.2401 39 | Inner Mongolia,Mainland China,2020-03-01T10:03:03,75,0,52,44.0935,113.9448 40 | Ningxia,Mainland China,2020-02-29T05:53:02,73,0,69,37.2692,106.1655 41 | ,Bahrain,2020-03-01T23:33:03,47,0,0,26.0275,50.5500 42 | ,Kuwait,2020-02-28T16:23:03,45,0,0,29.5000,47.7500 43 | Unassigned Location (From Diamond Princess),US,2020-02-28T20:03:03,44,0,0,35.4437,139.6380 44 | ,Thailand,2020-03-01T07:13:07,42,1,28,15.0000,101.0000 45 | Taiwan,Taiwan,2020-03-01T07:43:01,40,1,9,23.7000,121.0000 46 | ,UK,2020-03-01T23:23:02,36,0,8,55.0000,-3.0000 47 | ,Malaysia,2020-03-01T12:53:02,29,0,18,2.5000,112.5000 48 | ,Switzerland,2020-03-01T23:23:02,27,0,0,46.8182,8.2275 49 | ,United Arab Emirates,2020-02-29T12:33:03,21,0,5,24.0000,54.0000 50 | ,Iraq,2020-03-01T16:43:02,19,0,0,33.0000,44.0000 51 | ,Norway,2020-03-01T20:43:02,19,0,0,60.4720,8.4689 52 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 53 | ,Vietnam,2020-02-25T08:53:02,16,0,16,16.0000,108.0000 54 | ,Austria,2020-03-01T23:33:03,14,0,0,47.5162,14.5501 55 | "Toronto, ON",Canada,2020-03-01T23:33:03,14,0,2,43.6532,-79.3832 56 | ,Sweden,2020-03-01T23:23:02,14,0,0,63.0000,16.0000 57 | ,Israel,2020-03-01T23:23:02,10,0,1,31.0000,35.0000 58 | ,Lebanon,2020-03-01T15:33:03,10,0,0,33.8547,35.8623 59 | Macau,Macau,2020-02-27T12:43:02,10,0,8,22.1667,113.5500 60 | ,Netherlands,2020-03-01T15:33:03,10,0,0,52.1326,5.2913 61 | Queensland,Australia,2020-02-29T02:03:10,9,0,1,-28.0167,153.4000 62 | "Seattle, WA",US,2020-03-01T21:13:12,9,1,1,47.6062,-122.3321 63 | British Columbia,Canada,2020-02-29T23:23:13,8,0,3,49.2827,-123.1207 64 | Victoria,Australia,2020-02-29T02:03:10,7,0,4,-37.8136,144.9631 65 | ,Croatia,2020-03-01T23:33:03,7,0,0,45.1000,15.2000 66 | ,Greece,2020-03-01T23:23:02,7,0,0,39.0742,21.8243 67 | New South Wales,Australia,2020-03-01T23:33:03,6,0,4,-33.8688,151.2093 68 | ,Ecuador,2020-03-01T23:33:03,6,0,0,-1.8312,-78.1834 69 | ,Finland,2020-03-01T23:23:02,6,0,1,64.0000,26.0000 70 | ,Oman,2020-02-29T12:33:03,6,0,1,21.0000,57.0000 71 | ,Mexico,2020-03-01T23:33:03,5,0,0,23.0000,-102.0000 72 | ,Denmark,2020-03-01T23:33:03,4,0,0,56.2639,9.5018 73 | ,Pakistan,2020-02-29T18:03:05,4,0,0,30.3753,69.3451 74 | South Australia,Australia,2020-02-29T02:03:10,3,0,2,-34.9285,138.6007 75 | ,Azerbaijan,2020-03-01T02:43:03,3,0,0,40.1431,47.5769 76 | ,Czech Republic,2020-03-01T15:53:06,3,0,0,49.8175,15.4730 77 | ,Georgia,2020-03-01T15:43:03,3,0,0,42.3154,43.3569 78 | ,Iceland,2020-03-01T23:33:03,3,0,0,64.9631,-19.0208 79 | ,India,2020-02-16T07:43:02,3,0,3,21.0000,78.0000 80 | ,Philippines,2020-02-12T07:43:02,3,1,1,13.0000,122.0000 81 | ,Qatar,2020-03-01T23:33:03,3,0,0,25.3548,51.1839 82 | ,Romania,2020-02-28T15:33:03,3,0,0,45.9432,24.9668 83 | "Chicago, IL",US,2020-03-01T03:53:02,3,0,2,41.8781,-87.6298 84 | "Santa Clara, CA",US,2020-02-29T01:33:03,3,0,1,37.3541,-121.9552 85 | Western Australia,Australia,2020-03-01T02:43:03,2,1,0,-31.9505,115.8605 86 | ,Belgium,2020-03-01T12:43:02,2,0,1,50.8333,4.0000 87 | ,Brazil,2020-02-29T21:03:05,2,0,0,-14.2350,-51.9253 88 | ,Egypt,2020-03-01T23:33:03,2,0,1,26.0000,30.0000 89 | ,Russia,2020-02-12T14:43:03,2,0,2,60.0000,90.0000 90 | "Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0,38.4747,-121.3542 91 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0,36.5761,-120.9876 92 | "San Diego County, CA",US,2020-02-21T05:43:02,2,0,1,32.7157,-117.1611 93 | "Snohomish County, WA",US,2020-03-01T20:23:06,2,0,0,48.0330,-121.8339 94 | ,Afghanistan,2020-02-24T23:33:02,1,0,0,33.0000,65.0000 95 | ,Algeria,2020-02-25T23:43:03,1,0,0,28.0339,1.6596 96 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 97 | ,Belarus,2020-02-28T16:23:03,1,0,0,53.7098,27.9534 98 | ,Cambodia,2020-02-12T07:43:02,1,0,1,11.5500,104.9167 99 | " Montreal, QC",Canada,2020-02-28T05:23:07,1,0,0,45.5017,-73.5673 100 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1,42.9849,-81.2453 101 | ,Dominican Republic,2020-03-01T16:03:06,1,0,0,18.7357,-70.1627 102 | ,Estonia,2020-02-27T16:23:03,1,0,0,58.5953,25.0136 103 | ,Ireland,2020-03-01T07:13:07,1,0,0,53.1424,-7.6921 104 | ,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 105 | ,Luxembourg,2020-03-01T07:13:07,1,0,0,49.8153,6.1296 106 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 107 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 108 | ,Nepal,2020-02-12T14:43:03,1,0,1,28.1667,84.2500 109 | ,New Zealand,2020-02-28T16:23:03,1,0,0,-40.9006,174.8860 110 | ,Nigeria,2020-02-28T16:23:03,1,0,0,9.0820,8.6753 111 | ,North Macedonia,2020-02-27T16:23:03,1,0,0,41.6086,21.7453 112 | ,San Marino,2020-03-01T07:13:07,1,0,0,43.9424,12.4578 113 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1,7.0000,81.0000 114 | "Boston, MA",US,2020-02-28T21:13:12,1,0,1,42.3601,-71.0589 115 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0,40.7450,-123.8695 116 | "Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0,34.0522,-118.2437 117 | "Madison, WI",US,2020-02-05T21:53:02,1,0,0,43.0731,-89.4012 118 | "Orange, CA",US,2020-02-01T19:53:03,1,0,0,33.7879,-117.8531 119 | "Portland, OR",US,2020-02-29T02:23:11,1,0,0,45.5051,-122.6750 120 | "Providence, RI",US,2020-03-01T15:33:03,1,0,0,41.8240,-71.4128 121 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0,29.4241,-98.4936 122 | "Tempe, AZ",US,2020-02-25T21:23:03,1,0,1,33.4255,-111.9400 123 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 124 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,29.3829,-98.6134 125 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,41.2545,-95.9758 126 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,38.2721,-121.9399 127 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-04-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,Mainland China,2020-03-04T12:53:03,67332,2871,38557,30.9756,112.2707 3 | ,South Korea,2020-03-04T19:23:03,5621,35,41,36.0000,128.0000 4 | ,Italy,2020-03-04T19:23:03,3089,107,276,43.0000,12.0000 5 | ,Iran,2020-03-04T12:33:03,2922,92,552,32.0000,53.0000 6 | Guangdong,Mainland China,2020-03-04T10:03:19,1350,7,1133,23.3417,113.4244 7 | Henan,Mainland China,2020-03-04T00:33:05,1272,22,1234,33.8820,113.6140 8 | Zhejiang,Mainland China,2020-03-04T10:03:19,1213,1,1114,29.1832,120.0934 9 | Hunan,Mainland China,2020-03-04T15:43:02,1018,4,916,27.6104,111.7088 10 | Anhui,Mainland China,2020-03-04T10:03:19,990,6,956,31.8257,117.2264 11 | Jiangxi,Mainland China,2020-03-04T01:33:07,935,1,884,27.6140,115.7221 12 | Shandong,Mainland China,2020-03-04T12:53:03,758,6,516,36.3427,118.1498 13 | Diamond Princess cruise ship,Others,2020-03-03T03:13:06,706,6,10,35.4437,139.6380 14 | Jiangsu,Mainland China,2020-03-04T12:53:03,631,0,577,32.9711,119.4550 15 | Chongqing,Mainland China,2020-03-04T23:23:01,576,6,502,30.0572,107.8740 16 | Sichuan,Mainland China,2020-03-04T12:53:03,538,3,406,30.6171,102.7103 17 | Heilongjiang,Mainland China,2020-03-04T12:53:03,480,13,373,47.8620,127.7615 18 | Beijing,Mainland China,2020-03-04T23:23:01,418,8,297,40.1824,116.4142 19 | Shanghai,Mainland China,2020-03-04T04:13:08,338,3,298,31.2020,121.4491 20 | ,Japan,2020-03-04T19:23:03,331,6,43,36.0000,138.0000 21 | Hebei,Mainland China,2020-03-04T10:03:19,318,6,301,38.0428,114.5149 22 | Fujian,Mainland China,2020-03-04T12:53:03,296,1,270,26.0789,117.9874 23 | ,France,2020-03-04T20:43:02,285,4,12,47.0000,2.0000 24 | ,Germany,2020-03-04T19:33:03,262,0,16,51.0000,9.0000 25 | Guangxi,Mainland China,2020-03-04T00:13:08,252,2,210,23.8298,108.7881 26 | Shaanxi,Mainland China,2020-03-04T15:43:03,245,1,223,35.1917,108.8701 27 | ,Spain,2020-03-04T20:43:02,222,2,2,40.0000,-4.0000 28 | Yunnan,Mainland China,2020-03-03T03:43:02,174,2,169,24.9740,101.4870 29 | Hainan,Mainland China,2020-03-04T10:03:19,168,5,158,19.1959,109.7453 30 | Guizhou,Mainland China,2020-03-02T01:13:06,146,2,114,26.8154,106.8748 31 | Tianjin,Mainland China,2020-03-03T11:43:02,136,3,124,39.3054,117.3230 32 | Shanxi,Mainland China,2020-03-03T23:13:05,133,0,124,37.5777,112.2922 33 | Liaoning,Mainland China,2020-03-03T14:33:03,125,1,106,41.2956,122.6085 34 | ,Singapore,2020-03-03T15:23:03,110,0,78,1.2833,103.8333 35 | Hong Kong,Hong Kong,2020-03-04T23:23:01,105,2,37,22.3000,114.2000 36 | Jilin,Mainland China,2020-03-04T10:03:19,93,1,86,43.6661,126.1923 37 | Gansu,Mainland China,2020-03-04T15:43:03,91,2,87,36.0611,103.8343 38 | ,Switzerland,2020-03-04T19:33:03,90,0,3,46.8182,8.2275 39 | ,UK,2020-03-04T19:33:03,85,0,8,55.0000,-3.0000 40 | Xinjiang,Mainland China,2020-03-04T15:43:03,76,3,69,41.1129,85.2401 41 | Inner Mongolia,Mainland China,2020-03-04T15:43:03,75,1,63,44.0935,113.9448 42 | Ningxia,Mainland China,2020-03-04T01:33:07,75,0,69,37.2692,106.1655 43 | ,Kuwait,2020-03-02T20:33:02,56,0,0,29.5000,47.7500 44 | ,Norway,2020-03-04T19:33:03,56,0,0,60.4720,8.4689 45 | ,Bahrain,2020-03-04T19:33:03,52,0,0,26.0275,50.5500 46 | ,Malaysia,2020-03-04T13:03:08,50,0,22,2.5000,112.5000 47 | Unassigned Location (From Diamond Princess),US,2020-03-02T19:53:03,45,0,0,35.4437,139.6380 48 | ,Thailand,2020-03-02T06:23:04,43,1,31,15.0000,101.0000 49 | Taiwan,Taiwan,2020-03-03T06:43:02,42,1,12,23.7000,121.0000 50 | ,Netherlands,2020-03-04T12:33:03,38,0,0,52.1326,5.2913 51 | ,Iraq,2020-03-04T20:43:02,35,2,0,33.0000,44.0000 52 | ,Sweden,2020-03-04T12:33:03,35,0,0,63.0000,16.0000 53 | "King County, WA",US,2020-03-04T19:53:02,31,9,1,47.5480,-121.9836 54 | ,Austria,2020-03-04T19:33:03,29,0,0,47.5162,14.5501 55 | ,India,2020-03-04T12:33:03,28,0,3,21.0000,78.0000 56 | ,United Arab Emirates,2020-03-03T23:43:02,27,0,5,24.0000,54.0000 57 | ,Iceland,2020-03-04T19:33:03,26,0,0,64.9631,-19.0208 58 | ,Belgium,2020-03-04T12:33:03,23,0,1,50.8333,4.0000 59 | New South Wales,Australia,2020-03-04T20:43:03,22,1,4,-33.8688,151.2093 60 | "Toronto, ON",Canada,2020-03-03T20:03:08,19,0,2,43.6532,-79.3832 61 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 62 | ,San Marino,2020-03-04T19:33:03,16,1,0,43.9424,12.4578 63 | ,Vietnam,2020-02-25T08:53:02,16,0,16,16.0000,108.0000 64 | ,Israel,2020-03-04T12:43:03,15,0,1,31.0000,35.0000 65 | ,Oman,2020-03-04T19:33:03,15,0,2,21.0000,57.0000 66 | ,Lebanon,2020-03-04T16:53:02,13,0,1,33.8547,35.8623 67 | ,Algeria,2020-03-04T19:33:03,12,0,0,28.0339,1.6596 68 | British Columbia,Canada,2020-03-04T04:23:05,12,0,3,49.2827,-123.1207 69 | Queensland,Australia,2020-03-03T15:23:03,11,0,1,-28.0167,153.4000 70 | "Santa Clara, CA",US,2020-03-03T23:33:03,11,0,1,37.3541,-121.9552 71 | Victoria,Australia,2020-03-04T12:43:03,10,0,4,-37.8136,144.9631 72 | ,Croatia,2020-03-04T16:53:02,10,0,0,45.1667,15.5000 73 | ,Denmark,2020-03-04T00:03:15,10,0,0,56.2639,9.5018 74 | ,Ecuador,2020-03-04T19:33:03,10,0,0,-1.8312,-78.1834 75 | Macau,Macau,2020-03-03T12:33:02,10,0,9,22.1667,113.5500 76 | "Westchester County, NY",US,2020-03-04T21:23:10,10,0,0,41.1220,-73.7949 77 | ,Greece,2020-03-04T19:33:03,9,0,0,39.0742,21.8243 78 | ,Czech Republic,2020-03-04T19:33:03,8,0,0,49.8175,15.4730 79 | ,Qatar,2020-03-04T00:03:15,8,0,0,25.3548,51.1839 80 | "Snohomish County, WA",US,2020-03-04T19:53:02,8,1,0,48.0330,-121.8339 81 | "Los Angeles, CA",US,2020-03-04T18:13:18,7,0,0,34.0522,-118.2437 82 | ,Belarus,2020-03-04T12:43:03,6,0,0,53.7098,27.9534 83 | ,Finland,2020-03-01T23:23:02,6,0,1,64.0000,26.0000 84 | ,Ireland,2020-03-04T21:13:07,6,0,0,53.1424,-7.6921 85 | South Australia,Australia,2020-03-04T21:03:07,5,0,2,-34.9285,138.6007 86 | ,Mexico,2020-03-03T10:03:04,5,0,1,23.0000,-102.0000 87 | ,Pakistan,2020-03-03T04:33:03,5,0,0,30.3753,69.3451 88 | ,Portugal,2020-03-04T12:43:03,5,0,0,39.3999,-8.2245 89 | ,Brazil,2020-03-04T20:33:02,4,0,0,-14.2350,-51.9253 90 | ,Romania,2020-03-04T00:53:02,4,0,1,46.0000,25.0000 91 | ,Senegal,2020-03-04T20:43:02,4,0,0,14.4974,-14.4524 92 | "Cook County, IL",US,2020-03-02T20:33:02,4,0,2,41.7377,-87.6976 93 | ,Azerbaijan,2020-03-01T02:43:03,3,0,0,40.1431,47.5769 94 | ,Georgia,2020-03-01T15:43:03,3,0,0,42.3154,43.3569 95 | ,New Zealand,2020-03-04T20:13:11,3,0,0,-40.9006,174.8860 96 | ,Philippines,2020-02-12T07:43:02,3,1,1,13.0000,122.0000 97 | ,Russia,2020-03-02T21:23:04,3,0,2,60.0000,90.0000 98 | ,Saint Barthelemy,2020-03-04T02:43:03,3,0,0,17.9000,-62.8333 99 | "Orange County, CA",US,2020-03-04T02:13:11,3,0,0,33.7879,-117.8531 100 | Western Australia,Australia,2020-03-01T02:43:03,2,1,0,-31.9505,115.8605 101 | ,Egypt,2020-03-01T23:33:03,2,0,1,26.0000,30.0000 102 | ,Estonia,2020-03-03T23:53:03,2,0,0,58.5953,25.0136 103 | ,Hungary,2020-03-04T19:33:03,2,0,0,47.1625,19.5033 104 | ,Indonesia,2020-03-02T18:03:04,2,0,0,-0.7893,113.9213 105 | "Fulton County, GA",US,2020-03-03T03:33:02,2,0,0,33.8034,-84.3963 106 | "Grafton County, NH",US,2020-03-03T23:33:03,2,0,0,43.9088,-71.8260 107 | "Hillsborough, FL",US,2020-03-03T18:33:02,2,0,0,27.9904,-82.3018 108 | "Placer County, CA",US,2020-03-04T19:53:02,2,1,0,39.0916,-120.8039 109 | "Providence, RI",US,2020-03-02T03:43:02,2,0,0,41.8240,-71.4128 110 | "Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0,38.4747,-121.3542 111 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0,36.5761,-120.9876 112 | "San Diego County, CA",US,2020-02-21T05:43:02,2,0,1,32.7157,-117.1611 113 | "San Mateo, CA",US,2020-03-03T00:43:02,2,0,0,37.5630,-122.3255 114 | "Washington County, OR",US,2020-03-03T03:03:02,2,0,0,45.5470,-123.1386 115 | ,Afghanistan,2020-02-24T23:33:02,1,0,0,33.0000,65.0000 116 | ,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 117 | ,Argentina,2020-03-04T01:33:07,1,0,0,-38.4161,-63.6167 118 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 119 | Northern Territory,Australia,2020-03-04T19:43:02,1,0,0,-12.4634,130.8456 120 | Tasmania,Australia,2020-03-02T20:53:02,1,0,0,-41.4545,145.9707 121 | ,Cambodia,2020-02-12T07:43:02,1,0,1,11.5500,104.9167 122 | " Montreal, QC",Canada,2020-02-28T05:23:07,1,0,0,45.5017,-73.5673 123 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1,42.9849,-81.2453 124 | ,Chile,2020-03-04T01:33:07,1,0,0,-35.6751,-71.5430 125 | ,Dominican Republic,2020-03-02T16:33:02,1,0,0,18.7357,-70.1627 126 | ,Faroe Islands,2020-03-04T12:53:03,1,0,0,61.8926,-6.9118 127 | ,Gibraltar,2020-03-04T13:03:13,1,0,0,36.1408,-5.3536 128 | ,Jordan,2020-03-03T15:33:02,1,0,0,31.2400,36.5100 129 | ,Latvia,2020-03-04T01:33:07,1,0,0,56.8796,24.6032 130 | ,Liechtenstein,2020-03-04T01:33:07,1,0,0,47.1400,9.5500 131 | ,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 132 | ,Luxembourg,2020-03-03T00:23:16,1,0,0,49.8144,6.1317 133 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 134 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 135 | ,Morocco,2020-03-03T15:33:02,1,0,0,31.7917,-7.0926 136 | ,Nepal,2020-02-12T14:43:03,1,0,1,28.1667,84.2500 137 | ,Nigeria,2020-02-28T16:23:03,1,0,0,9.0820,8.6753 138 | ,North Macedonia,2020-02-27T16:23:03,1,0,0,41.6086,21.7453 139 | ,Poland,2020-03-04T15:13:18,1,0,0,51.9194,19.1451 140 | ,Saudi Arabia,2020-03-02T23:53:02,1,0,0,24.0000,45.0000 141 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1,7.0000,81.0000 142 | ,Tunisia,2020-03-04T01:33:07,1,0,0,34.0000,9.0000 143 | " Norfolk County, MA",US,2020-03-03T14:33:03,1,0,0,42.1767,-71.1449 144 | "Berkeley, CA",US,2020-03-03T23:53:03,1,0,0,37.8715,-122.2730 145 | "Boston, MA",US,2020-02-28T21:13:12,1,0,1,42.3601,-71.0589 146 | "Contra Costa County, CA",US,2020-03-04T04:23:05,1,0,0,37.8534,-121.9018 147 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0,40.7450,-123.8695 148 | "Madison, WI",US,2020-03-03T15:53:03,1,0,1,43.0731,-89.4012 149 | "Maricopa County, AZ",US,2020-03-03T17:33:02,1,0,0,33.2918,-112.4291 150 | "New York City, NY",US,2020-03-02T01:53:03,1,0,0,40.7128,-74.0060 151 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0,29.4241,-98.4936 152 | "Sarasota, FL",US,2020-03-02T03:23:06,1,0,0,27.3364,-82.5307 153 | "Sonoma County, CA",US,2020-03-02T20:53:02,1,0,0,38.5780,-122.9888 154 | "Tempe, AZ",US,2020-02-25T21:23:03,1,0,1,33.4255,-111.9400 155 | "Umatilla, OR",US,2020-03-02T20:23:16,1,0,0,45.7750,-118.7606 156 | "Wake County, NC",US,2020-03-03T20:53:02,1,0,0,35.8032,-78.5661 157 | ,Ukraine,2020-03-03T15:33:02,1,0,0,48.3794,31.1656 158 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 159 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,29.3829,-98.6134 160 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,41.2545,-95.9758 161 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,38.2721,-121.9399 162 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-10-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,Mainland China,2020-03-10T15:13:05,67760,3024,47743,30.9756,112.2707 3 | ,Italy,2020-03-10T17:53:02,10149,631,724,43.0000,12.0000 4 | ,Iran (Islamic Republic of),2020-03-10T19:13:20,8042,291,2731,32.0000,53.0000 5 | ,Republic of Korea,2020-03-10T19:13:20,7513,54,247,36.0000,128.0000 6 | ,France,2020-03-10T18:53:02,1784,33,12,47.0000,2.0000 7 | ,Spain,2020-03-10T23:53:02,1695,35,32,40.0000,-4.0000 8 | ,Germany,2020-03-10T18:53:02,1457,2,18,51.0000,9.0000 9 | Guangdong,Mainland China,2020-03-10T09:13:07,1353,8,1274,23.3417,113.4244 10 | Henan,Mainland China,2020-03-08T05:03:02,1272,22,1247,33.8820,113.6140 11 | Zhejiang,Mainland China,2020-03-10T10:33:02,1215,1,1191,29.1832,120.0934 12 | Hunan,Mainland China,2020-03-10T08:33:02,1018,4,990,27.6104,111.7088 13 | Anhui,Mainland China,2020-03-08T05:13:06,990,6,984,31.8257,117.2264 14 | Jiangxi,Mainland China,2020-03-10T01:33:02,935,1,927,27.6140,115.7221 15 | Shandong,Mainland China,2020-03-10T07:33:03,758,6,719,36.3427,118.1498 16 | Diamond Princess cruise ship,Others,2020-03-06T01:29:39,696,6,40,35.4437,139.6380 17 | Jiangsu,Mainland China,2020-03-10T08:13:08,631,0,627,32.9711,119.4550 18 | ,Japan,2020-03-10T16:13:16,581,10,101,36.0000,138.0000 19 | Chongqing,Mainland China,2020-03-10T23:53:02,576,6,547,30.0572,107.8740 20 | Sichuan,Mainland China,2020-03-10T10:13:17,539,3,478,30.6171,102.7103 21 | ,Switzerland,2020-03-10T23:53:02,491,3,3,46.8182,8.2275 22 | Heilongjiang,Mainland China,2020-03-10T00:13:18,481,13,434,47.8620,127.7615 23 | Beijing,Mainland China,2020-03-10T01:13:07,429,8,320,40.1824,116.4142 24 | ,Norway,2020-03-10T23:53:02,400,0,1,60.4720,8.4689 25 | ,Netherlands,2020-03-10T13:53:06,382,4,0,52.1326,5.2913 26 | ,UK,2020-03-10T23:53:02,382,6,18,55.0000,-3.0000 27 | ,Sweden,2020-03-10T23:53:02,355,0,1,63.0000,16.0000 28 | Shanghai,Mainland China,2020-03-10T06:13:14,344,3,319,31.2020,121.4491 29 | Hebei,Mainland China,2020-03-07T13:03:05,318,6,307,38.0428,114.5149 30 | Fujian,Mainland China,2020-03-07T13:03:05,296,1,295,26.0789,117.9874 31 | ,Belgium,2020-03-10T11:53:03,267,0,1,50.8333,4.0000 32 | Washington,US,2020-03-10T22:13:11,267,23,1,47.4009,-121.4905 33 | ,Denmark,2020-03-10T17:33:34,262,0,1,56.2639,9.5018 34 | Guangxi,Mainland China,2020-03-10T00:53:02,252,2,234,23.8298,108.7881 35 | Shaanxi,Mainland China,2020-03-10T08:53:02,245,1,227,35.1917,108.8701 36 | ,Austria,2020-03-10T16:13:16,182,0,4,47.5162,14.5501 37 | Yunnan,Mainland China,2020-03-06T03:23:06,174,2,170,24.9740,101.4870 38 | New York,US,2020-03-10T17:13:27,173,0,0,42.1657,-74.9481 39 | Hainan,Mainland China,2020-03-08T04:33:02,168,6,159,19.1959,109.7453 40 | ,Singapore,2020-03-10T05:13:07,160,0,78,1.2833,103.8333 41 | Guizhou,Mainland China,2020-03-10T01:13:07,146,2,129,26.8154,106.8748 42 | California,US,2020-03-10T19:13:28,144,2,2,36.1162,-119.6816 43 | Tianjin,Mainland China,2020-03-10T10:13:25,136,3,131,39.3054,117.3230 44 | Shanxi,Mainland China,2020-03-10T23:53:02,133,0,131,37.5777,112.2922 45 | ,Malaysia,2020-03-10T16:33:13,129,0,24,2.5000,112.5000 46 | Gansu,Mainland China,2020-03-10T14:33:13,125,2,88,36.0611,103.8343 47 | Liaoning,Mainland China,2020-03-10T04:13:09,125,1,111,41.2956,122.6085 48 | Hong Kong,Hong Kong SAR,2020-03-10T23:53:02,120,3,65,22.3000,114.2000 49 | ,Bahrain,2020-03-10T18:53:02,110,0,22,26.0275,50.5500 50 | Jilin,Mainland China,2020-03-09T14:33:03,93,1,91,43.6661,126.1923 51 | Massachusetts,US,2020-03-10T22:13:11,92,0,1,42.2302,-71.5301 52 | ,Greece,2020-03-10T10:53:03,89,0,0,39.0742,21.8243 53 | Xinjiang,Mainland China,2020-03-08T05:33:02,76,3,73,41.1129,85.2401 54 | Inner Mongolia,Mainland China,2020-03-08T05:13:06,75,1,70,44.0935,113.9448 55 | Ningxia,Mainland China,2020-03-06T12:53:03,75,0,71,37.2692,106.1655 56 | ,United Arab Emirates,2020-03-10T11:13:12,74,0,12,23.4241,53.8478 57 | ,Iraq,2020-03-10T05:13:07,71,7,3,33.0000,44.0000 58 | ,Iceland,2020-03-10T12:53:02,69,0,1,64.9631,-19.0208 59 | ,Kuwait,2020-03-10T10:13:28,69,0,1,29.5000,47.7500 60 | ,Egypt,2020-03-10T05:13:07,59,1,1,26.0000,30.0000 61 | ,Israel,2020-03-10T12:53:02,58,0,4,31.0000,35.0000 62 | ,India,2020-03-10T10:13:28,56,0,4,21.0000,78.0000 63 | New South Wales,Australia,2020-03-10T14:13:14,55,2,4,-33.8688,151.2093 64 | ,Thailand,2020-03-10T08:53:03,53,1,33,15.8700,100.9925 65 | ,San Marino,2020-03-10T05:13:07,51,2,0,43.9424,12.4578 66 | Taiwan,Taipei and environs,2020-03-10T19:13:15,47,1,17,23.7000,121.0000 67 | Diamond Princess,US,2020-03-10T02:33:04,46,0,0,35.4437,139.6380 68 | ,Czech Republic,2020-03-10T13:33:14,41,0,0,49.8175,15.4730 69 | ,Lebanon,2020-03-10T10:53:03,41,1,1,33.8547,35.8623 70 | ,Portugal,2020-03-10T12:53:02,41,0,0,39.3999,-8.2245 71 | ,Finland,2020-03-10T10:13:30,40,0,1,64.0000,26.0000 72 | Ontario,Canada,2020-03-10T17:13:32,36,0,4,51.2538,-85.3232 73 | ,Ireland,2020-03-10T19:13:21,34,0,0,53.1424,-7.6921 74 | ,Philippines,2020-03-10T10:13:30,33,1,2,12.8797,121.7740 75 | British Columbia,Canada,2020-03-09T22:43:25,32,1,4,53.7267,-127.6476 76 | ,Brazil,2020-03-10T16:53:13,31,0,0,-14.2350,-51.9253 77 | ,Slovenia,2020-03-10T16:13:26,31,0,0,46.1512,14.9955 78 | ,Viet Nam,2020-03-10T19:13:21,31,0,16,16.0000,108.0000 79 | ,Indonesia,2020-03-10T12:53:02,27,0,2,-0.7893,113.9213 80 | ,Romania,2020-03-10T16:33:13,25,0,3,46.0000,25.0000 81 | ,occupied Palestinian territory,2020-03-10T19:13:21,25,0,0,31.9522,35.2332 82 | ,Qatar,2020-03-10T16:13:26,24,0,0,25.3548,51.1839 83 | ,Poland,2020-03-10T20:13:07,22,0,0,51.9194,19.1451 84 | Grand Princess,US,2020-03-10T02:33:04,21,0,0,37.6489,-122.6655 85 | ,Algeria,2020-03-09T10:13:06,20,0,0,28.0339,1.6596 86 | ,Saudi Arabia,2020-03-10T05:13:07,20,0,1,24.0000,45.0000 87 | Queensland,Australia,2020-03-10T13:53:06,18,0,8,-28.0167,153.4000 88 | Victoria,Australia,2020-03-10T14:33:13,18,0,7,-37.8136,144.9631 89 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 90 | ,Oman,2020-03-10T08:33:02,18,0,9,21.0000,57.0000 91 | ,Argentina,2020-03-10T05:13:07,17,1,0,-38.4161,-63.6167 92 | Georgia,US,2020-03-10T03:53:03,17,0,0,33.0406,-83.6431 93 | ,Pakistan,2020-03-10T05:13:07,16,0,1,30.3753,69.3451 94 | ,Ecuador,2020-03-09T09:03:03,15,0,0,-1.8312,-78.1834 95 | ,Georgia,2020-03-09T10:13:06,15,0,0,42.3154,43.3569 96 | Colorado,US,2020-03-10T18:33:03,15,0,0,39.0598,-105.3111 97 | Florida,US,2020-03-10T13:13:14,15,2,0,27.7663,-81.6868 98 | New Jersey,US,2020-03-10T18:13:16,15,1,0,40.2989,-74.5210 99 | Oregon,US,2020-03-10T19:53:13,15,0,0,44.5720,-122.0709 100 | ,Croatia,2020-03-10T16:53:13,14,0,0,45.1667,15.5000 101 | ,Chile,2020-03-10T05:13:07,13,0,0,-35.6751,-71.5430 102 | Texas,US,2020-03-10T04:13:13,13,0,0,31.0545,-97.5635 103 | ,Estonia,2020-03-10T11:13:13,12,0,0,58.5953,25.0136 104 | Illinois,US,2020-03-10T18:33:03,12,0,2,40.3495,-88.9861 105 | Pennsylvania,US,2020-03-10T18:13:16,12,0,0,40.5908,-77.2098 106 | ,Azerbaijan,2020-03-10T16:13:27,11,0,0,40.1431,47.5769 107 | ,Peru,2020-03-10T16:33:13,11,0,0,-9.1900,-75.0152 108 | ,Albania,2020-03-10T12:53:02,10,0,0,41.1533,20.1683 109 | Macau,Macao SAR,2020-03-10T19:13:20,10,0,10,22.1667,113.5500 110 | ,Russian Federation,2020-03-10T19:13:21,10,0,3,60.0000,90.0000 111 | ,Belarus,2020-03-10T16:13:27,9,0,3,53.7098,27.9534 112 | ,Costa Rica,2020-03-09T09:03:03,9,0,0,9.7489,-83.7534 113 | ,Hungary,2020-03-09T09:43:03,9,0,0,47.1625,19.5033 114 | ,Latvia,2020-03-10T10:13:41,8,0,1,56.8796,24.6032 115 | Iowa,US,2020-03-10T02:33:04,8,0,0,42.0115,-93.2105 116 | Maryland,US,2020-03-10T18:13:16,8,0,0,39.0639,-76.8021 117 | South Australia,Australia,2020-03-06T04:23:08,7,0,2,-34.9285,138.6007 118 | Alberta,Canada,2020-03-09T17:53:24,7,0,0,53.9333,-116.5765 119 | ,Mexico,2020-03-10T05:13:07,7,0,4,23.0000,-102.0000 120 | ,North Macedonia,2020-03-10T10:53:03,7,0,0,41.6086,21.7453 121 | ,Slovakia,2020-03-10T05:13:07,7,0,0,48.6690,19.6990 122 | ,South Africa,2020-03-10T05:13:07,7,0,0,-30.5595,22.9375 123 | North Carolina,US,2020-03-10T02:33:04,7,0,0,35.6301,-79.8064 124 | South Carolina,US,2020-03-10T02:33:04,7,0,0,33.8569,-80.9450 125 | Tennessee,US,2020-03-10T19:53:13,7,0,0,35.7478,-86.6923 126 | Virginia,US,2020-03-10T03:53:03,7,0,0,37.7693,-78.1700 127 | Western Australia,Australia,2020-03-10T14:33:13,6,1,0,-31.9505,115.8605 128 | ,Maldives,2020-03-10T05:13:07,6,0,0,3.2028,73.2207 129 | Arizona,US,2020-03-10T02:53:04,6,0,1,33.7298,-111.4312 130 | Indiana,US,2020-03-10T17:13:25,6,0,0,39.8494,-86.2583 131 | Kentucky,US,2020-03-10T02:33:04,6,0,0,37.6681,-84.6701 132 | ,Afghanistan,2020-03-10T12:33:02,5,0,0,33.0000,65.0000 133 | ,Bosnia and Herzegovina,2020-03-10T05:13:07,5,0,0,43.9159,17.6791 134 | ,Dominican Republic,2020-03-08T17:23:08,5,0,0,18.7357,-70.1627 135 | ,French Guiana,2020-03-07T03:23:05,5,0,0,3.9339,-53.1258 136 | ,Luxembourg,2020-03-10T05:13:07,5,0,0,49.8144,6.1317 137 | ,Malta,2020-03-10T16:33:13,5,0,0,35.9375,14.3754 138 | ,New Zealand,2020-03-07T02:03:29,5,0,0,-40.9006,174.8860 139 | ,Serbia,2020-03-10T18:53:03,5,0,0,44.0165,21.0059 140 | ,Tunisia,2020-03-10T05:13:07,5,0,0,33.8869,9.5375 141 | District of Columbia,US,2020-03-10T03:53:03,5,0,0,38.8974,-77.0268 142 | ,Bulgaria,2020-03-09T14:43:03,4,0,0,42.7339,25.4858 143 | Quebec,Canada,2020-03-10T00:53:03,4,0,0,52.9399,-73.5491 144 | ,Senegal,2020-03-08T20:23:08,4,0,1,14.4974,-14.4524 145 | Nevada,US,2020-03-10T02:33:04,4,0,0,38.3135,-117.0554 146 | New Hampshire,US,2020-03-10T02:33:04,4,0,0,43.4525,-71.5639 147 | ,Bangladesh,2020-03-10T06:19:32,3,0,0,23.6850,90.3563 148 | ,Colombia,2020-03-10T05:33:02,3,0,0,4.5709,-74.2973 149 | ,Cyprus,2020-03-10T13:13:13,3,0,0,35.1264,33.4299 150 | ,Morocco,2020-03-10T14:13:14,3,1,0,31.7917,-7.0926 151 | ,Republic of Moldova,2020-03-10T19:13:21,3,0,0,47.4116,28.3699 152 | Minnesota,US,2020-03-10T19:53:13,3,0,0,45.6945,-93.9002 153 | Nebraska,US,2020-03-10T03:13:17,3,0,0,41.1254,-98.2681 154 | Ohio,US,2020-03-10T03:13:17,3,0,0,40.3888,-82.7649 155 | Rhode Island,US,2020-03-10T03:13:17,3,0,0,41.6809,-71.5118 156 | Wisconsin,US,2020-03-10T17:13:25,3,0,1,44.2685,-89.6165 157 | Tasmania,Australia,2020-03-08T05:43:04,2,0,0,-41.4545,145.9707 158 | ,Cambodia,2020-03-08T04:53:03,2,0,1,11.5500,104.9167 159 | ,Cameroon,2020-03-08T05:23:03,2,0,0,3.8480,11.5021 160 | ,Faroe Islands,2020-03-08T05:13:07,2,0,0,61.8926,-6.9118 161 | ,Martinique,2020-03-07T03:23:05,2,0,0,14.6415,-61.0242 162 | ,Nigeria,2020-03-09T09:43:03,2,0,0,9.0820,8.6753 163 | ,Saint Martin,2020-03-10T05:33:02,2,0,0,18.0708,-63.0501 164 | Connecticut,US,2020-03-10T03:13:17,2,0,0,41.5978,-72.7554 165 | Hawaii,US,2020-03-10T03:13:17,2,0,0,21.0943,-157.4983 166 | Oklahoma,US,2020-03-10T17:13:25,2,0,0,35.5653,-96.9289 167 | Utah,US,2020-03-10T16:53:13,2,0,0,40.1500,-111.8624 168 | ,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 169 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 170 | Northern Territory,Australia,2020-03-10T14:13:14,1,0,0,-12.4634,130.8456 171 | ,Bhutan,2020-03-06T15:43:02,1,0,0,27.5142,90.4336 172 | ,Brunei,2020-03-10T06:13:43,1,0,0,4.5353,114.7277 173 | ,Burkina Faso,2020-03-10T05:33:02,1,0,0,12.2383,-1.5616 174 | ,Channel Islands,2020-03-10T05:33:02,1,0,0,49.3723,-2.3644 175 | ,Gibraltar,2020-03-10T08:33:03,1,0,1,36.1408,-5.3536 176 | ,Holy See,2020-03-10T19:13:21,1,0,0,41.9029,12.4534 177 | ,Jordan,2020-03-03T15:33:02,1,0,0,31.2400,36.5100 178 | ,Liechtenstein,2020-03-04T01:33:07,1,0,0,47.1400,9.5500 179 | ,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 180 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 181 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 182 | ,Mongolia,2020-03-10T06:13:43,1,0,0,46.8625,103.8467 183 | ,Nepal,2020-03-10T08:33:03,1,0,1,28.3949,84.1240 184 | ,Panama,2020-03-10T06:13:43,1,0,0,8.5380,-80.7821 185 | ,Paraguay,2020-03-08T09:13:16,1,0,0,-23.4425,-58.4438 186 | ,Saint Barthelemy,2020-03-09T10:43:06,1,0,0,17.9000,-62.8333 187 | ,Sri Lanka,2020-03-10T08:33:03,1,0,1,7.8731,80.7718 188 | ,Togo,2020-03-07T02:13:09,1,0,0,8.6195,0.8248 189 | Kansas,US,2020-03-10T03:13:17,1,0,0,38.5266,-96.7265 190 | Louisiana,US,2020-03-10T03:13:17,1,0,0,31.1695,-91.8678 191 | Missouri,US,2020-03-10T03:13:17,1,0,0,38.4561,-92.2884 192 | Vermont,US,2020-03-10T03:13:17,1,0,0,44.0459,-72.7107 193 | ,Ukraine,2020-03-03T15:33:02,1,0,0,48.3794,31.1656 194 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 195 | Alaska,US,2020-03-10T02:33:04,0,0,0,61.3707,-152.4044 196 | Arkansas,US,2020-03-10T02:33:04,0,0,0,34.9697,-92.3731 197 | Delaware,US,2020-03-10T02:33:04,0,0,0,39.3185,-75.5071 198 | Idaho,US,2020-03-10T02:33:04,0,0,0,44.2405,-114.4788 199 | Maine,US,2020-03-10T02:33:04,0,0,0,44.6939,-69.3819 200 | Michigan,US,2020-03-10T02:33:04,0,0,0,43.3266,-84.5361 201 | Mississippi,US,2020-03-10T02:33:04,0,0,0,32.7416,-89.6787 202 | Montana,US,2020-03-10T02:33:04,0,0,0,46.9219,-110.4544 203 | New Mexico,US,2020-03-10T02:33:04,0,0,0,34.8405,-106.2485 204 | North Dakota,US,2020-03-10T02:33:04,0,0,0,47.5289,-99.7840 205 | South Dakota,US,2020-03-10T02:33:04,0,0,0,44.2998,-99.4388 206 | West Virginia,US,2020-03-10T02:33:04,0,0,0,38.4912,-80.9545 207 | Wyoming,US,2020-03-10T02:33:04,0,0,0,42.7560,-107.3025 208 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-06-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,Mainland China,2020-03-06T14:23:04,67592,2931,42033,30.9756,112.2707 3 | ,South Korea,2020-03-06T13:33:03,6593,42,135,36.0000,128.0000 4 | ,Iran,2020-03-06T12:23:04,4747,124,913,32.0000,53.0000 5 | ,Italy,2020-03-06T17:33:03,4636,197,523,43.0000,12.0000 6 | Guangdong,Mainland China,2020-03-06T12:53:03,1352,7,1216,23.3417,113.4244 7 | Henan,Mainland China,2020-03-06T12:43:03,1272,22,1244,33.8820,113.6140 8 | Zhejiang,Mainland China,2020-03-06T10:23:03,1215,1,1147,29.1832,120.0934 9 | Hunan,Mainland China,2020-03-06T11:03:10,1018,4,955,27.6104,111.7088 10 | Anhui,Mainland China,2020-03-06T03:23:06,990,6,979,31.8257,117.2264 11 | Jiangxi,Mainland China,2020-03-06T14:23:04,935,1,909,27.6140,115.7221 12 | Shandong,Mainland China,2020-03-06T11:03:10,758,6,618,36.3427,118.1498 13 | Diamond Princess cruise ship,Others,2020-03-06T01:29:39,696,6,40,35.4437,139.6380 14 | ,Germany,2020-03-06T17:53:03,670,0,17,51.0000,9.0000 15 | ,France,2020-03-06T20:13:13,653,9,12,47.0000,2.0000 16 | Jiangsu,Mainland China,2020-03-06T10:23:03,631,0,594,32.9711,119.4550 17 | Chongqing,Mainland China,2020-03-06T11:03:10,576,6,513,30.0572,107.8740 18 | Sichuan,Mainland China,2020-03-06T12:53:03,539,3,442,30.6171,102.7103 19 | Heilongjiang,Mainland China,2020-03-06T14:23:04,481,13,396,47.8620,127.7615 20 | Beijing,Mainland China,2020-03-06T12:53:03,422,8,299,40.1824,116.4142 21 | ,Japan,2020-03-06T20:13:13,420,6,46,36.0000,138.0000 22 | ,Spain,2020-03-06T20:13:13,400,5,2,40.0000,-4.0000 23 | Shanghai,Mainland China,2020-03-06T06:03:13,342,3,306,31.2020,121.4491 24 | Hebei,Mainland China,2020-03-06T03:23:06,318,6,305,38.0428,114.5149 25 | Fujian,Mainland China,2020-03-06T12:53:03,296,1,284,26.0789,117.9874 26 | Guangxi,Mainland China,2020-03-06T00:33:02,252,2,217,23.8298,108.7881 27 | Shaanxi,Mainland China,2020-03-06T10:23:03,245,1,226,35.1917,108.8701 28 | ,Switzerland,2020-03-06T15:23:19,214,1,3,46.8182,8.2275 29 | Yunnan,Mainland China,2020-03-06T03:23:06,174,2,170,24.9740,101.4870 30 | Hainan,Mainland China,2020-03-05T06:13:10,168,6,158,19.1959,109.7453 31 | ,UK,2020-03-06T15:33:03,163,2,8,55.0000,-3.0000 32 | Guizhou,Mainland China,2020-03-02T01:13:06,146,2,114,26.8154,106.8748 33 | Tianjin,Mainland China,2020-03-05T03:33:27,136,3,128,39.3054,117.3230 34 | Shanxi,Mainland China,2020-03-05T14:53:03,133,0,126,37.5777,112.2922 35 | ,Singapore,2020-03-06T13:03:12,130,0,78,1.2833,103.8333 36 | ,Netherlands,2020-03-06T13:23:06,128,1,0,52.1326,5.2913 37 | Liaoning,Mainland China,2020-03-03T14:33:03,125,1,106,41.2956,122.6085 38 | Gansu,Mainland China,2020-03-06T14:43:15,119,2,87,36.0611,103.8343 39 | ,Belgium,2020-03-06T12:33:03,109,0,1,50.8333,4.0000 40 | ,Norway,2020-03-06T16:33:04,108,0,0,60.4720,8.4689 41 | Hong Kong,Hong Kong,2020-03-06T23:13:06,107,2,46,22.3000,114.2000 42 | ,Sweden,2020-03-06T13:03:12,101,0,0,63.0000,16.0000 43 | Jilin,Mainland China,2020-03-06T10:23:03,93,1,90,43.6661,126.1923 44 | ,Malaysia,2020-03-06T12:33:03,83,0,22,2.5000,112.5000 45 | Xinjiang,Mainland China,2020-03-06T05:53:03,76,3,71,41.1129,85.2401 46 | Inner Mongolia,Mainland China,2020-03-05T23:53:01,75,1,65,44.0935,113.9448 47 | Ningxia,Mainland China,2020-03-06T12:53:03,75,0,71,37.2692,106.1655 48 | ,Bahrain,2020-03-06T15:33:03,60,0,4,26.0275,50.5500 49 | ,Kuwait,2020-03-05T13:43:04,58,0,0,29.5000,47.7500 50 | "King County, WA",US,2020-03-06T23:13:07,58,12,1,47.5480,-121.9836 51 | ,Austria,2020-03-06T16:33:04,55,0,0,47.5162,14.5501 52 | ,Thailand,2020-03-06T08:33:03,48,1,31,15.0000,101.0000 53 | ,Greece,2020-03-06T13:03:12,45,0,0,39.0742,21.8243 54 | Taiwan,Taiwan,2020-03-06T12:43:03,45,1,12,23.7000,121.0000 55 | Unassigned Location (From Diamond Princess),US,2020-03-02T19:53:03,45,0,0,35.4437,139.6380 56 | ,Iceland,2020-03-06T15:33:03,43,0,0,64.9631,-19.0208 57 | ,Iraq,2020-03-06T13:23:06,40,3,0,33.0000,44.0000 58 | ,India,2020-03-06T13:03:12,31,0,3,21.0000,78.0000 59 | ,United Arab Emirates,2020-03-05T23:53:02,29,0,5,24.0000,54.0000 60 | New South Wales,Australia,2020-03-06T04:53:02,26,1,4,-33.8688,151.2093 61 | "Toronto, ON",Canada,2020-03-06T20:53:02,24,0,2,43.6532,-79.3832 62 | ,Denmark,2020-03-06T13:03:12,23,0,1,56.2639,9.5018 63 | ,Lebanon,2020-03-06T20:33:03,22,0,1,33.8547,35.8623 64 | British Columbia,Canada,2020-03-06T04:43:03,21,0,3,49.2827,-123.1207 65 | ,Israel,2020-03-06T20:33:03,21,0,2,31.0000,35.0000 66 | ,San Marino,2020-03-05T13:53:03,21,1,0,43.9424,12.4578 67 | "Santa Clara, CA",US,2020-03-05T22:53:03,20,0,1,37.3541,-121.9552 68 | "Snohomish County, WA",US,2020-03-06T23:13:07,19,1,0,48.0330,-121.8339 69 | "Westchester County, NY",US,2020-03-06T15:43:03,19,0,0,41.1220,-73.7949 70 | ,Czech Republic,2020-03-06T16:33:04,18,0,0,49.8175,15.4730 71 | ,Ireland,2020-03-06T20:43:03,18,0,0,53.1424,-7.6921 72 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 73 | ,Algeria,2020-03-06T01:29:39,17,0,0,28.0339,1.6596 74 | ,Oman,2020-03-05T17:53:02,16,0,2,21.0000,57.0000 75 | ,Palestine,2020-03-06T20:33:03,16,0,0,31.9522,35.2332 76 | "New York County, NY",US,2020-03-06T19:13:40,16,0,0,40.7128,-74.0060 77 | ,Vietnam,2020-02-25T08:53:02,16,0,16,16.0000,108.0000 78 | ,Egypt,2020-03-06T13:03:13,15,0,1,26.0000,30.0000 79 | ,Finland,2020-03-06T13:03:12,15,0,1,64.0000,26.0000 80 | Queensland,Australia,2020-03-05T17:33:06,13,0,8,-28.0167,153.4000 81 | ,Brazil,2020-03-06T20:33:03,13,0,0,-14.2350,-51.9253 82 | ,Ecuador,2020-03-05T17:53:02,13,0,0,-1.8312,-78.1834 83 | ,Portugal,2020-03-06T20:33:03,13,0,0,39.3999,-8.2245 84 | ,Russia,2020-03-06T20:43:03,13,0,2,60.0000,90.0000 85 | "Los Angeles, CA",US,2020-03-06T23:13:07,13,0,0,34.0522,-118.2437 86 | ,Croatia,2020-03-06T08:33:03,11,0,0,45.1667,15.5000 87 | Victoria,Australia,2020-03-05T18:33:03,10,0,7,-37.8136,144.9631 88 | ,Estonia,2020-03-06T13:03:13,10,0,0,58.5953,25.0136 89 | Macau,Macau,2020-03-06T10:23:03,10,0,10,22.1667,113.5500 90 | ,Romania,2020-03-06T16:43:04,9,0,1,46.0000,25.0000 91 | ,Qatar,2020-03-04T00:03:15,8,0,0,25.3548,51.1839 92 | South Australia,Australia,2020-03-06T04:23:08,7,0,2,-34.9285,138.6007 93 | ,Slovenia,2020-03-06T15:33:03,7,0,0,46.1512,14.9955 94 | ,Azerbaijan,2020-03-05T13:53:03,6,0,0,40.1431,47.5769 95 | ,Belarus,2020-03-04T12:43:03,6,0,0,53.7098,27.9534 96 | ,Mexico,2020-03-06T16:43:04,6,0,1,23.0000,-102.0000 97 | ,Pakistan,2020-03-06T13:03:12,6,0,0,30.3753,69.3451 98 | ,Philippines,2020-03-06T07:03:05,5,1,1,13.0000,122.0000 99 | ,Poland,2020-03-06T16:43:04,5,0,0,51.9194,19.1451 100 | ,Saudi Arabia,2020-03-05T17:53:03,5,0,0,24.0000,45.0000 101 | "Cook County, IL",US,2020-03-05T18:33:03,5,0,2,41.7377,-87.6976 102 | "Placer County, CA",US,2020-03-06T23:13:07,5,1,0,39.0916,-120.8039 103 | "Unassigned Location, WA",US,2020-03-06T00:33:03,5,0,0,47.7511,-120.7401 104 | ,Chile,2020-03-05T18:13:04,4,0,0,-35.6751,-71.5430 105 | ,Georgia,2020-03-05T13:53:03,4,0,0,42.3154,43.3569 106 | ,Indonesia,2020-03-06T12:33:03,4,0,0,-0.7893,113.9213 107 | ,New Zealand,2020-03-06T01:29:39,4,0,0,-40.9006,174.8860 108 | ,Senegal,2020-03-04T20:43:02,4,0,0,14.4974,-14.4524 109 | Western Australia,Australia,2020-03-05T17:13:35,3,1,0,-31.9505,115.8605 110 | ,North Macedonia,2020-03-06T20:23:11,3,0,0,41.6086,21.7453 111 | ,Saint Barthelemy,2020-03-04T02:43:03,3,0,0,17.9000,-62.8333 112 | "Contra Costa County, CA",US,2020-03-06T19:43:02,3,0,0,37.8534,-121.9018 113 | "Harris County, TX",US,2020-03-06T15:43:02,3,0,0,29.7752,-95.3103 114 | "Montgomery County, MD",US,2020-03-06T04:03:17,3,0,0,39.1547,-77.2405 115 | "Orange County, CA",US,2020-03-04T02:13:11,3,0,0,33.7879,-117.8531 116 | "San Diego County, CA",US,2020-03-05T20:33:03,3,0,1,32.7157,-117.1611 117 | "Suffolk County, MA",US,2020-03-06T18:33:03,3,0,1,42.3601,-71.0589 118 | ,Argentina,2020-03-06T01:29:39,2,0,0,-38.4161,-63.6167 119 | ,Bosnia and Herzegovina,2020-03-05T17:13:30,2,0,0,43.9159,17.6791 120 | " Montreal, QC",Canada,2020-03-05T14:03:04,2,0,0,45.5017,-73.5673 121 | ,Dominican Republic,2020-03-06T15:33:03,2,0,0,18.7357,-70.1627 122 | ,Hungary,2020-03-05T17:13:27,2,0,0,47.1625,19.5033 123 | ,Luxembourg,2020-03-06T01:29:39,2,0,0,49.8144,6.1317 124 | ,Morocco,2020-03-05T13:53:03,2,0,0,31.7917,-7.0926 125 | " Norfolk County, MA",US,2020-03-06T18:33:03,2,0,0,42.1767,-71.1449 126 | "Bergen County, NJ",US,2020-03-05T21:03:12,2,0,0,40.9263,-74.0770 127 | "Denver County, CO",US,2020-03-06T23:33:02,2,0,0,39.7392,-104.9903 128 | "Fulton County, GA",US,2020-03-03T03:33:02,2,0,0,33.8034,-84.3963 129 | "Grafton County, NH",US,2020-03-03T23:33:03,2,0,0,43.9088,-71.8260 130 | "Hillsborough, FL",US,2020-03-03T18:33:02,2,0,0,27.9904,-82.3018 131 | "Maricopa County, AZ",US,2020-03-06T18:33:03,2,0,0,33.2918,-112.4291 132 | "Providence, RI",US,2020-03-02T03:43:02,2,0,0,41.8240,-71.4128 133 | "Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0,38.4747,-121.3542 134 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0,36.5761,-120.9876 135 | "San Francisco County, CA",US,2020-03-05T20:33:03,2,0,0,37.7749,-122.4194 136 | "San Mateo, CA",US,2020-03-03T00:43:02,2,0,0,37.5630,-122.3255 137 | "Summit County, CO",US,2020-03-06T01:29:39,2,0,0,39.5912,-106.0640 138 | "Washington County, OR",US,2020-03-03T03:03:02,2,0,0,45.5470,-123.1386 139 | ,Afghanistan,2020-02-24T23:33:02,1,0,0,33.0000,65.0000 140 | ,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 141 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 142 | Tasmania,Australia,2020-03-02T20:53:02,1,0,0,-41.4545,145.9707 143 | ,Bhutan,2020-03-06T15:43:02,1,0,0,27.5142,90.4336 144 | ,Cambodia,2020-02-12T07:43:02,1,0,1,11.5500,104.9167 145 | ,Cameroon,2020-03-06T15:43:02,1,0,0,3.8480,11.5021 146 | "Calgary, Alberta",Canada,2020-03-06T13:13:34,1,0,0,51.0447,-114.0719 147 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1,42.9849,-81.2453 148 | ,Colombia,2020-03-06T20:43:03,1,0,0,4.5709,-74.2973 149 | ,Costa Rica,2020-03-06T01:29:39,1,0,0,9.7489,-83.7534 150 | ,Faroe Islands,2020-03-04T12:53:03,1,0,0,61.8926,-6.9118 151 | ,Gibraltar,2020-03-04T13:03:13,1,0,0,36.1408,-5.3536 152 | ,Jordan,2020-03-03T15:33:02,1,0,0,31.2400,36.5100 153 | ,Latvia,2020-03-04T01:33:07,1,0,0,56.8796,24.6032 154 | ,Liechtenstein,2020-03-04T01:33:07,1,0,0,47.1400,9.5500 155 | ,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 156 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 157 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 158 | ,Nepal,2020-02-12T14:43:03,1,0,1,28.1667,84.2500 159 | ,Nigeria,2020-02-28T16:23:03,1,0,0,9.0820,8.6753 160 | ,Peru,2020-03-06T15:43:02,1,0,0,-9.1900,-75.0152 161 | ,Serbia,2020-03-06T15:43:02,1,0,0,44.0165,21.0059 162 | ,Slovakia,2020-03-06T13:03:14,1,0,0,48.6690,19.6990 163 | ,South Africa,2020-03-06T15:43:02,1,0,0,-30.5595,22.9375 164 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1,7.0000,81.0000 165 | ,Togo,2020-03-06T15:33:03,1,0,0,8.6195,0.8248 166 | ,Tunisia,2020-03-04T01:33:07,1,0,0,34.0000,9.0000 167 | "Berkeley, CA",US,2020-03-03T23:53:03,1,0,0,37.8715,-122.2730 168 | "Chatham County, NC",US,2020-03-06T16:13:15,1,0,0,35.7211,-79.1781 169 | "Clark County, NV",US,2020-03-05T20:53:03,1,0,0,36.0796,-115.0940 170 | "Delaware County, PA",US,2020-03-06T15:33:03,1,0,0,39.9078,-75.3879 171 | "Douglas County, NE",US,2020-03-06T23:33:02,1,0,0,41.3148,-96.1951 172 | "Fayette County, KY",US,2020-03-06T23:23:03,1,0,0,38.0606,-84.4803 173 | "Floyd County, GA",US,2020-03-06T17:53:03,1,0,0,34.2829,-85.2308 174 | "Fort Bend County, TX",US,2020-03-05T01:16:59,1,0,0,29.5693,-95.8143 175 | "Grant County, WA",US,2020-03-05T20:23:07,1,0,0,47.1981,-119.3732 176 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0,40.7450,-123.8695 177 | "Madison, WI",US,2020-03-03T15:53:03,1,0,1,43.0731,-89.4012 178 | "Marion County, IN",US,2020-03-06T17:13:12,1,0,0,39.8362,-86.1752 179 | "Middlesex County, MA",US,2020-03-06T01:29:39,1,0,0,42.4672,-71.2874 180 | "Nassau County, NY",US,2020-03-06T14:43:15,1,0,0,40.6546,-73.5594 181 | "Norwell County, MA",US,2020-03-06T02:33:03,1,0,0,42.1615,-70.7928 182 | "Ramsey County, MN",US,2020-03-06T23:23:03,1,0,0,44.9964,-93.0616 183 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0,29.4241,-98.4936 184 | "Santa Rosa County, FL",US,2020-03-05T20:03:03,1,0,0,30.7690,-86.9824 185 | "Sarasota, FL",US,2020-03-02T03:23:06,1,0,0,27.3364,-82.5307 186 | "Sonoma County, CA",US,2020-03-02T20:53:02,1,0,0,38.5780,-122.9888 187 | "Tempe, AZ",US,2020-02-25T21:23:03,1,0,1,33.4255,-111.9400 188 | "Umatilla, OR",US,2020-03-02T20:23:16,1,0,0,45.7750,-118.7606 189 | "Wake County, NC",US,2020-03-03T20:53:02,1,0,0,35.8032,-78.5661 190 | "Washoe County, NV",US,2020-03-06T19:43:02,1,0,0,40.5608,-119.6035 191 | "Wayne County, PA",US,2020-03-06T16:13:15,1,0,0,41.6739,-75.2479 192 | "Williamson County, TN",US,2020-03-05T23:33:03,1,0,0,35.9179,-86.8622 193 | "Yolo County, CA",US,2020-03-06T20:13:14,1,0,0,38.7646,-121.9018 194 | ,Ukraine,2020-03-03T15:33:02,1,0,0,48.3794,31.1656 195 | ,Vatican City,2020-03-06T15:43:02,1,0,0,41.9029,12.4534 196 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 197 | Northern Territory,Australia,2020-03-06T04:33:03,0,0,0,-12.4634,130.8456 198 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,29.3829,-98.6134 199 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,41.2545,-95.9758 200 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,38.2721,-121.9399 201 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-11-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,China,2020-03-11T10:53:02,67773,3046,49134,30.9756,112.2707 3 | ,Italy,2020-03-11T21:33:02,12462,827,1045,43.0000,12.0000 4 | ,Iran,2020-03-11T18:52:03,9000,354,2959,32.0000,53.0000 5 | ,"Korea, South",2020-03-11T21:13:18,7755,60,288,36.0000,128.0000 6 | France,France,2020-03-11T22:53:03,2281,48,12,46.2276,2.2137 7 | ,Spain,2020-03-11T20:53:02,2277,54,183,40.0000,-4.0000 8 | ,Germany,2020-03-11T19:13:17,1908,3,25,51.0000,9.0000 9 | Guangdong,China,2020-03-11T10:13:06,1356,8,1282,23.3417,113.4244 10 | Henan,China,2020-03-11T08:13:09,1273,22,1249,33.8820,113.6140 11 | Zhejiang,China,2020-03-11T09:33:12,1215,1,1195,29.1832,120.0934 12 | Hunan,China,2020-03-11T02:18:14,1018,4,995,27.6104,111.7088 13 | Anhui,China,2020-03-11T02:18:14,990,6,984,31.8257,117.2264 14 | Jiangxi,China,2020-03-11T02:18:14,935,1,932,27.6140,115.7221 15 | Shandong,China,2020-03-11T11:33:07,760,6,726,36.3427,118.1498 16 | Diamond Princess,Cruise Ship,2020-03-11T22:13:12,696,7,325,35.4437,139.6380 17 | ,Switzerland,2020-03-11T20:53:02,652,4,4,46.8182,8.2275 18 | ,Japan,2020-03-11T21:33:03,639,15,118,36.0000,138.0000 19 | Jiangsu,China,2020-03-11T02:18:14,631,0,627,32.9711,119.4550 20 | ,Norway,2020-03-11T19:33:02,598,0,1,60.4720,8.4689 21 | Chongqing,China,2020-03-11T23:13:05,576,6,554,30.0572,107.8740 22 | Sichuan,China,2020-03-11T14:33:03,539,3,488,30.6171,102.7103 23 | ,Netherlands,2020-03-11T14:13:11,503,5,0,52.1326,5.2913 24 | ,Sweden,2020-03-11T19:33:02,500,1,1,63.0000,16.0000 25 | Heilongjiang,China,2020-03-11T11:33:07,482,13,436,47.8620,127.7615 26 | UK,United Kingdom,2020-03-11T21:33:03,456,8,18,55.3781,-3.4360 27 | Denmark,Denmark,2020-03-11T22:13:13,442,0,1,56.2639,9.5018 28 | Beijing,China,2020-03-11T02:18:14,435,8,326,40.1824,116.4142 29 | Washington,US,2020-03-11T22:33:03,366,29,1,47.4009,-121.4905 30 | Shanghai,China,2020-03-11T03:13:07,344,3,320,31.2020,121.4491 31 | Hebei,China,2020-03-11T02:18:14,318,6,307,39.5490,116.1306 32 | ,Belgium,2020-03-11T18:52:03,314,3,1,50.8333,4.0000 33 | Fujian,China,2020-03-11T02:18:14,296,1,295,26.0789,117.9874 34 | ,Qatar,2020-03-11T18:52:03,262,0,0,25.3548,51.1839 35 | Guangxi,China,2020-03-11T11:33:07,252,2,238,23.8298,108.7881 36 | ,Austria,2020-03-11T22:33:03,246,0,4,47.5162,14.5501 37 | Shaanxi,China,2020-03-11T09:33:12,245,1,232,35.1917,108.8701 38 | New York,US,2020-03-11T22:53:03,220,0,0,42.1657,-74.9481 39 | ,Bahrain,2020-03-11T22:33:03,195,0,35,26.0275,50.5500 40 | ,Singapore,2020-03-11T13:53:24,178,0,96,1.2833,103.8333 41 | California,US,2020-03-11T23:53:03,177,3,2,36.1162,-119.6816 42 | Yunnan,China,2020-03-11T02:18:14,174,2,170,24.9740,101.4870 43 | Hainan,China,2020-03-11T02:18:14,168,6,159,19.1959,109.7453 44 | ,Malaysia,2020-03-11T11:33:08,149,0,26,2.5000,112.5000 45 | Guizhou,China,2020-03-11T02:33:03,146,2,133,26.8154,106.8748 46 | Tianjin,China,2020-03-11T02:18:14,136,3,131,39.3054,117.3230 47 | Shanxi,China,2020-03-11T02:18:14,133,0,131,37.5777,112.2922 48 | Gansu,China,2020-03-11T14:33:03,127,2,88,37.8099,101.0583 49 | Hong Kong,China,2020-03-11T18:52:03,126,3,65,22.3000,114.2000 50 | Liaoning,China,2020-03-11T02:18:14,125,1,111,41.2956,122.6085 51 | ,Israel,2020-03-11T21:13:18,109,0,4,31.0000,35.0000 52 | ,Greece,2020-03-11T23:53:02,99,1,0,39.0742,21.8243 53 | Massachusetts,US,2020-03-11T22:53:03,95,0,1,42.2302,-71.5301 54 | Jilin,China,2020-03-11T02:18:14,93,1,91,43.6661,126.1923 55 | ,Czechia,2020-03-11T22:13:12,91,0,0,49.8175,15.4730 56 | ,Iceland,2020-03-11T13:53:24,85,0,1,64.9631,-19.0208 57 | Xinjiang,China,2020-03-11T02:18:14,76,3,73,41.1129,85.2401 58 | Inner Mongolia,China,2020-03-11T03:53:03,75,1,71,44.0935,113.9448 59 | Ningxia,China,2020-03-11T09:33:12,75,0,72,37.2692,106.1655 60 | ,United Arab Emirates,2020-03-11T20:53:02,74,0,17,23.4241,53.8478 61 | ,Kuwait,2020-03-11T09:53:03,72,0,2,29.5000,47.7500 62 | ,Iraq,2020-03-11T22:13:12,71,7,15,33.0000,44.0000 63 | New South Wales,Australia,2020-03-11T18:52:04,65,2,4,-33.8688,151.2093 64 | ,India,2020-03-11T22:13:12,62,1,4,21.0000,78.0000 65 | ,San Marino,2020-03-11T20:53:02,62,2,0,43.9424,12.4578 66 | ,Lebanon,2020-03-11T11:53:03,61,3,1,33.8547,35.8623 67 | ,Egypt,2020-03-11T22:13:12,60,1,27,26.0000,30.0000 68 | ,Finland,2020-03-11T13:33:10,59,0,1,64.0000,26.0000 69 | ,Portugal,2020-03-11T13:33:11,59,0,0,39.3999,-8.2245 70 | ,Thailand,2020-03-11T09:13:10,59,1,34,15.8700,100.9925 71 | ,Slovenia,2020-03-11T14:13:11,57,0,0,46.1512,14.9955 72 | ,Philippines,2020-03-11T10:53:03,49,1,2,12.8797,121.7740 73 | ,Taiwan*,2020-03-11T20:13:14,48,1,17,23.7000,121.0000 74 | Diamond Princess,US,2020-03-10T02:33:04,46,0,0,35.4437,139.6380 75 | ,Romania,2020-03-11T21:13:18,45,0,6,46.0000,25.0000 76 | ,Ireland,2020-03-11T21:33:03,43,1,0,53.1424,-7.6921 77 | Ontario,Canada,2020-03-11T18:52:04,41,0,4,51.2538,-85.3232 78 | British Columbia,Canada,2020-03-11T02:18:28,39,1,4,53.7267,-127.6476 79 | ,Brazil,2020-03-11T22:13:12,38,0,0,-14.2350,-51.9253 80 | ,Vietnam,2020-03-11T20:53:02,38,0,16,16.0000,108.0000 81 | ,Indonesia,2020-03-11T11:14:26,34,1,2,-0.7893,113.9213 82 | Colorado,US,2020-03-11T22:53:03,34,0,0,39.0598,-105.3111 83 | ,Poland,2020-03-11T21:13:21,31,0,0,51.9194,19.1451 84 | Florida,US,2020-03-11T03:33:05,28,2,0,27.7663,-81.6868 85 | Illinois,US,2020-03-11T22:53:03,25,0,2,40.3495,-88.9861 86 | ,Georgia,2020-03-11T22:13:12,24,0,0,42.3154,43.3569 87 | ,Chile,2020-03-11T22:13:12,23,0,0,-35.6751,-71.5430 88 | Georgia,US,2020-03-11T18:52:03,23,0,0,33.0406,-83.6431 89 | New Jersey,US,2020-03-11T18:52:04,23,1,0,40.2989,-74.5210 90 | Victoria,Australia,2020-03-11T18:52:04,21,0,7,-37.8136,144.9631 91 | ,Saudi Arabia,2020-03-11T13:33:11,21,0,1,24.0000,45.0000 92 | Grand Princess,US,2020-03-10T02:33:04,21,0,0,37.6489,-122.6655 93 | Texas,US,2020-03-11T22:53:03,21,0,0,31.0545,-97.5635 94 | ,Algeria,2020-03-09T10:13:06,20,0,0,28.0339,1.6596 95 | Queensland,Australia,2020-03-11T18:52:04,20,0,8,-28.0167,153.4000 96 | ,Russia,2020-03-11T18:52:03,20,0,3,60.0000,90.0000 97 | ,Argentina,2020-03-11T02:18:16,19,1,0,-38.4161,-63.6167 98 | Alberta,Canada,2020-03-11T23:13:07,19,0,0,53.9333,-116.5765 99 | ,Croatia,2020-03-11T22:13:12,19,0,0,45.1667,15.5000 100 | ,Pakistan,2020-03-11T21:13:23,19,0,2,30.3753,69.3451 101 | Oregon,US,2020-03-11T22:53:03,19,0,0,44.5720,-122.0709 102 | Qinghai,China,2020-03-11T02:18:14,18,0,18,35.7452,95.9956 103 | ,Oman,2020-03-10T08:33:02,18,0,9,21.0000,57.0000 104 | ,Ecuador,2020-03-11T09:33:12,17,0,0,-1.8312,-78.1834 105 | ,Estonia,2020-03-11T22:13:12,16,0,0,58.5953,25.0136 106 | Pennsylvania,US,2020-03-11T22:53:03,16,0,0,40.5908,-77.2098 107 | ,Costa Rica,2020-03-11T09:33:12,13,0,0,9.7489,-83.7534 108 | ,Hungary,2020-03-11T22:13:12,13,0,0,47.1625,19.5033 109 | ,South Africa,2020-03-11T10:33:03,13,0,0,-30.5595,22.9375 110 | Iowa,US,2020-03-11T02:53:03,13,0,0,42.0115,-93.2105 111 | ,Albania,2020-03-11T13:33:11,12,1,0,41.1533,20.1683 112 | ,Serbia,2020-03-11T09:53:03,12,0,0,44.0165,21.0059 113 | ,Azerbaijan,2020-03-11T08:13:09,11,0,3,40.1431,47.5769 114 | ,Brunei,2020-03-11T22:13:12,11,0,0,4.5353,114.7277 115 | ,Peru,2020-03-10T16:33:13,11,0,0,-9.1900,-75.0152 116 | Indiana,US,2020-03-11T22:53:03,11,0,0,39.8494,-86.2583 117 | Macau,China,2020-03-11T18:52:03,10,0,10,22.1667,113.5500 118 | ,Latvia,2020-03-11T13:53:24,10,0,1,56.8796,24.6032 119 | ,Slovakia,2020-03-11T13:33:11,10,0,0,48.6690,19.6990 120 | District of Columbia,US,2020-03-11T22:53:03,10,0,0,38.8974,-77.0268 121 | South Carolina,US,2020-03-11T22:53:03,10,0,0,33.8569,-80.9450 122 | South Australia,Australia,2020-03-11T18:52:04,9,0,2,-34.9285,138.6007 123 | Western Australia,Australia,2020-03-11T18:52:04,9,1,0,-31.9505,115.8605 124 | ,Belarus,2020-03-10T16:13:27,9,0,3,53.7098,27.9534 125 | ,Colombia,2020-03-11T14:33:04,9,0,0,4.5709,-74.2973 126 | Arizona,US,2020-03-11T18:52:04,9,0,1,33.7298,-111.4312 127 | Maryland,US,2020-03-11T03:33:05,9,0,0,39.0639,-76.8021 128 | Tennessee,US,2020-03-11T22:53:03,9,0,0,35.7478,-86.6923 129 | Virginia,US,2020-03-11T03:33:05,9,0,0,37.7693,-78.1700 130 | Quebec,Canada,2020-03-11T23:13:06,8,0,0,52.9399,-73.5491 131 | ,Maldives,2020-03-11T09:33:12,8,0,0,3.2028,73.2207 132 | ,Mexico,2020-03-11T21:13:24,8,0,4,23.0000,-102.0000 133 | ,Panama,2020-03-11T09:33:12,8,1,0,8.5380,-80.7821 134 | Kentucky,US,2020-03-11T03:13:08,8,0,0,37.6681,-84.6701 135 | South Dakota,US,2020-03-11T22:53:03,8,1,0,44.2998,-99.4388 136 | ,Afghanistan,2020-03-11T10:13:12,7,0,0,33.0000,65.0000 137 | ,Bosnia and Herzegovina,2020-03-11T22:13:12,7,0,0,43.9159,17.6791 138 | ,Bulgaria,2020-03-11T22:13:12,7,1,0,42.7339,25.4858 139 | ,Luxembourg,2020-03-11T09:33:12,7,0,0,49.8144,6.1317 140 | ,North Macedonia,2020-03-10T10:53:03,7,0,0,41.6086,21.7453 141 | ,Tunisia,2020-03-11T18:52:03,7,0,0,33.8869,9.5375 142 | Nevada,US,2020-03-11T22:53:03,7,0,0,38.3135,-117.0554 143 | North Carolina,US,2020-03-10T02:33:04,7,0,0,35.6301,-79.8064 144 | ,Cyprus,2020-03-11T18:52:03,6,0,0,35.1264,33.4299 145 | ,Malta,2020-03-11T11:33:08,6,0,0,35.9375,14.3754 146 | Louisiana,US,2020-03-11T10:13:20,6,0,0,31.1695,-91.8678 147 | Wisconsin,US,2020-03-11T22:53:03,6,0,1,44.2685,-89.6165 148 | ,Dominican Republic,2020-03-08T17:23:08,5,0,0,18.7357,-70.1627 149 | ,French Guiana,2020-03-07T03:23:05,5,0,0,3.9339,-53.1258 150 | ,Morocco,2020-03-11T11:53:03,5,1,0,31.7917,-7.0926 151 | ,New Zealand,2020-03-07T02:03:29,5,0,0,-40.9006,174.8860 152 | ,Paraguay,2020-03-11T04:33:03,5,0,0,-23.4425,-58.4438 153 | Minnesota,US,2020-03-11T19:13:18,5,0,0,45.6945,-93.9002 154 | Nebraska,US,2020-03-11T23:13:07,5,0,0,41.1254,-98.2681 155 | New Hampshire,US,2020-03-11T10:13:20,5,0,0,43.4525,-71.5639 156 | Rhode Island,US,2020-03-11T03:13:08,5,0,0,41.6809,-71.5118 157 | ,Senegal,2020-03-08T20:23:08,4,0,1,14.4974,-14.4524 158 | Ohio,US,2020-03-11T18:52:04,4,0,0,40.3888,-82.7649 159 | Tasmania,Australia,2020-03-11T18:52:04,3,0,0,-41.4545,145.9707 160 | ,Bangladesh,2020-03-10T06:19:32,3,0,0,23.6850,90.3563 161 | ,Cambodia,2020-03-11T09:33:12,3,0,1,12.5657,104.9910 162 | ,Lithuania,2020-03-11T02:18:26,3,0,0,55.1694,23.8813 163 | ,Martinique,2020-03-11T02:18:29,3,0,0,14.6415,-61.0242 164 | ,Moldova,2020-03-11T18:52:03,3,0,0,47.4116,28.3699 165 | Connecticut,US,2020-03-11T23:13:06,3,0,0,41.5978,-72.7554 166 | New Mexico,US,2020-03-11T18:52:04,3,0,0,34.8405,-106.2485 167 | Utah,US,2020-03-11T23:13:06,3,0,0,40.1500,-111.8624 168 | ,Bolivia,2020-03-11T18:52:03,2,0,0,-16.2902,-63.5887 169 | ,Burkina Faso,2020-03-11T09:33:12,2,0,0,12.2383,-1.5616 170 | ,Cameroon,2020-03-08T05:23:03,2,0,0,3.8480,11.5021 171 | Faroe Islands,Denmark,2020-03-11T20:53:02,2,0,0,61.8926,-6.9118 172 | St Martin,France,2020-03-11T20:53:02,2,0,0,18.0708,-63.0501 173 | ,Honduras,2020-03-11T18:52:03,2,0,0,15.2000,-86.2419 174 | ,Nigeria,2020-03-09T09:43:03,2,0,0,9.0820,8.6753 175 | ,Sri Lanka,2020-03-11T09:33:12,2,0,1,7.8731,80.7718 176 | Hawaii,US,2020-03-10T03:13:17,2,0,0,21.0943,-157.4983 177 | Michigan,US,2020-03-11T03:33:05,2,0,0,43.3266,-84.5361 178 | Oklahoma,US,2020-03-10T17:13:25,2,0,0,35.5653,-96.9289 179 | Channel Islands,United Kingdom,2020-03-11T20:53:02,2,0,0,49.3723,-2.3644 180 | ,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 181 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 182 | Northern Territory,Australia,2020-03-10T14:13:14,1,0,0,-12.4634,130.8456 183 | ,Bhutan,2020-03-06T15:43:02,1,0,0,27.5142,90.4336 184 | New Brunswick,Canada,2020-03-11T23:13:06,1,0,0,46.5653,-66.4619 185 | Tibet,China,2020-03-11T02:18:14,1,0,1,31.6927,88.0924 186 | ,Congo (Kinshasa),2020-03-11T21:13:24,1,0,0,-4.0383,21.7587 187 | ,Cote d'Ivoire,2020-03-11T23:33:03,1,0,0,7.5400,-5.5471 188 | Saint Barthelemy,France,2020-03-11T20:53:02,1,0,0,17.9000,-62.8333 189 | ,Holy See,2020-03-10T19:13:21,1,0,0,41.9029,12.4534 190 | ,Jamaica,2020-03-11T18:52:03,1,0,0,18.1096,-77.2975 191 | ,Jordan,2020-03-03T15:33:02,1,0,0,31.2400,36.5100 192 | ,Liechtenstein,2020-03-04T01:33:07,1,0,0,47.1400,9.5500 193 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 194 | ,Mongolia,2020-03-10T06:13:43,1,0,0,46.8625,103.8467 195 | ,Nepal,2020-03-10T08:33:03,1,0,1,28.3949,84.1240 196 | ,Reunion,2020-03-11T23:13:07,1,0,0,-21.1151,55.5364 197 | ,Togo,2020-03-07T02:13:09,1,0,0,8.6195,0.8248 198 | ,Turkey,2020-03-11T03:33:05,1,0,0,38.9637,35.2433 199 | Arkansas,US,2020-03-11T18:52:04,1,0,0,34.9697,-92.3731 200 | Delaware,US,2020-03-11T23:13:06,1,0,0,39.3185,-75.5071 201 | Kansas,US,2020-03-10T03:13:17,1,0,0,38.5266,-96.7265 202 | Missouri,US,2020-03-10T03:13:17,1,0,0,38.4561,-92.2884 203 | Montana,US,2020-03-11T23:13:06,1,0,0,46.9219,-110.4544 204 | Vermont,US,2020-03-10T03:13:17,1,0,0,44.0459,-72.7107 205 | ,Ukraine,2020-03-03T15:33:02,1,0,0,48.3794,31.1656 206 | Gibraltar,United Kingdom,2020-03-11T20:53:02,1,0,1,36.1408,-5.3536 207 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 208 | Gansu,Mainland China,2020-03-11T02:18:28,0,0,0,36.0611,103.8343 209 | Hebei,Mainland China,2020-03-11T02:18:29,0,0,0,38.0428,114.5149 210 | Alaska,US,2020-03-10T02:33:04,0,0,0,61.3707,-152.4044 211 | Idaho,US,2020-03-10T02:33:04,0,0,0,44.2405,-114.4788 212 | Maine,US,2020-03-10T02:33:04,0,0,0,44.6939,-69.3819 213 | Mississippi,US,2020-03-10T02:33:04,0,0,0,32.7416,-89.6787 214 | North Dakota,US,2020-03-10T02:33:04,0,0,0,47.5289,-99.7840 215 | West Virginia,US,2020-03-10T02:33:04,0,0,0,38.4912,-80.9545 216 | Wyoming,US,2020-03-10T02:33:04,0,0,0,42.7560,-107.3025 217 | ,occupied Palestinian territory,2020-03-11T20:53:02,0,0,0,31.9522,35.2332 218 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-07-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,Mainland China,2020-03-07T11:13:04,67666,2959,43500,30.9756,112.2707 3 | ,South Korea,2020-03-07T10:13:22,7041,44,135,36.0000,128.0000 4 | ,Italy,2020-03-07T17:33:03,5883,233,589,43.0000,12.0000 5 | ,Iran,2020-03-07T17:43:05,5823,145,1669,32.0000,53.0000 6 | Guangdong,Mainland China,2020-03-07T10:43:02,1352,7,1237,23.3417,113.4244 7 | Henan,Mainland China,2020-03-07T11:23:10,1272,22,1244,33.8820,113.6140 8 | Zhejiang,Mainland China,2020-03-07T09:03:05,1215,1,1154,29.1832,120.0934 9 | Hunan,Mainland China,2020-03-07T09:03:05,1018,4,960,27.6104,111.7088 10 | Anhui,Mainland China,2020-03-06T03:23:06,990,6,979,31.8257,117.2264 11 | ,France,2020-03-07T20:33:02,949,11,12,47.0000,2.0000 12 | Jiangxi,Mainland China,2020-03-07T01:13:18,935,1,916,27.6140,115.7221 13 | ,Germany,2020-03-07T17:43:05,799,0,18,51.0000,9.0000 14 | Shandong,Mainland China,2020-03-07T13:03:05,758,6,627,36.3427,118.1498 15 | Diamond Princess cruise ship,Others,2020-03-06T01:29:39,696,6,40,35.4437,139.6380 16 | Jiangsu,Mainland China,2020-03-07T14:53:02,631,0,606,32.9711,119.4550 17 | Chongqing,Mainland China,2020-03-07T23:23:02,576,6,526,30.0572,107.8740 18 | Sichuan,Mainland China,2020-03-07T13:03:05,539,3,454,30.6171,102.7103 19 | ,Spain,2020-03-07T17:43:05,500,10,30,40.0000,-4.0000 20 | Heilongjiang,Mainland China,2020-03-07T09:03:05,481,13,403,47.8620,127.7615 21 | ,Japan,2020-03-07T17:43:05,461,6,76,36.0000,138.0000 22 | Beijing,Mainland China,2020-03-07T01:03:05,426,8,303,40.1824,116.4142 23 | Shanghai,Mainland China,2020-03-07T03:53:03,342,3,313,31.2020,121.4491 24 | Hebei,Mainland China,2020-03-07T13:03:05,318,6,307,38.0428,114.5149 25 | Fujian,Mainland China,2020-03-07T13:03:05,296,1,295,26.0789,117.9874 26 | ,Switzerland,2020-03-07T17:43:05,268,1,3,46.8182,8.2275 27 | Guangxi,Mainland China,2020-03-07T14:53:02,252,2,218,23.8298,108.7881 28 | Shaanxi,Mainland China,2020-03-06T10:23:03,245,1,226,35.1917,108.8701 29 | ,UK,2020-03-07T17:43:05,206,2,18,55.0000,-3.0000 30 | ,Netherlands,2020-03-07T17:43:05,188,1,0,52.1326,5.2913 31 | Yunnan,Mainland China,2020-03-06T03:23:06,174,2,170,24.9740,101.4870 32 | ,Belgium,2020-03-07T17:53:03,169,0,1,50.8333,4.0000 33 | Hainan,Mainland China,2020-03-05T06:13:10,168,6,158,19.1959,109.7453 34 | ,Sweden,2020-03-07T17:53:03,161,0,0,63.0000,16.0000 35 | ,Norway,2020-03-07T17:53:03,147,0,0,60.4720,8.4689 36 | Guizhou,Mainland China,2020-03-07T00:43:01,146,2,115,26.8154,106.8748 37 | ,Singapore,2020-03-07T17:53:03,138,0,78,1.2833,103.8333 38 | Tianjin,Mainland China,2020-03-05T03:33:27,136,3,128,39.3054,117.3230 39 | Shanxi,Mainland China,2020-03-05T14:53:03,133,0,126,37.5777,112.2922 40 | Liaoning,Mainland China,2020-03-07T14:53:02,125,1,107,41.2956,122.6085 41 | Gansu,Mainland China,2020-03-07T15:03:06,120,2,87,36.0611,103.8343 42 | Hong Kong,Hong Kong,2020-03-07T10:13:22,108,2,51,22.3000,114.2000 43 | Jilin,Mainland China,2020-03-06T10:23:03,93,1,90,43.6661,126.1923 44 | ,Malaysia,2020-03-07T17:53:03,93,0,23,2.5000,112.5000 45 | ,Bahrain,2020-03-07T18:13:26,85,0,4,26.0275,50.5500 46 | ,Austria,2020-03-07T17:53:03,79,0,0,47.5162,14.5501 47 | Xinjiang,Mainland China,2020-03-07T09:03:05,76,3,72,41.1129,85.2401 48 | Inner Mongolia,Mainland China,2020-03-07T03:43:01,75,1,67,44.0935,113.9448 49 | Ningxia,Mainland China,2020-03-06T12:53:03,75,0,71,37.2692,106.1655 50 | "King County, WA",US,2020-03-07T20:23:03,71,15,1,47.5480,-121.9836 51 | ,Kuwait,2020-03-07T18:13:26,61,0,0,29.5000,47.7500 52 | "Westchester County, NY",US,2020-03-07T18:23:05,57,0,0,41.1220,-73.7949 53 | ,Iraq,2020-03-07T18:13:27,54,4,0,33.0000,44.0000 54 | ,Iceland,2020-03-07T18:13:27,50,0,0,64.9631,-19.0208 55 | ,Thailand,2020-03-07T10:13:23,50,1,31,15.0000,101.0000 56 | ,Greece,2020-03-07T18:13:27,46,0,0,39.0742,21.8243 57 | Taiwan,Taiwan,2020-03-06T12:43:03,45,1,12,23.7000,121.0000 58 | Unassigned Location (From Diamond Princess),US,2020-03-02T19:53:03,45,0,0,35.4437,139.6380 59 | ,United Arab Emirates,2020-03-07T10:13:22,45,0,7,24.0000,54.0000 60 | ,India,2020-03-07T18:13:27,34,0,3,21.0000,78.0000 61 | "Santa Clara County, CA",US,2020-03-07T23:43:03,32,0,1,37.3541,-121.9552 62 | New South Wales,Australia,2020-03-07T02:03:30,28,1,4,-33.8688,151.2093 63 | "Toronto, ON",Canada,2020-03-07T03:53:03,27,0,3,43.6532,-79.3832 64 | "Snohomish County, WA",US,2020-03-07T20:23:03,27,1,0,48.0330,-121.8339 65 | ,Denmark,2020-03-06T13:03:12,23,0,1,56.2639,9.5018 66 | ,San Marino,2020-03-07T02:13:08,23,1,0,43.9424,12.4578 67 | ,Lebanon,2020-03-06T20:33:03,22,0,1,33.8547,35.8623 68 | ,Palestine,2020-03-07T02:23:06,22,0,0,31.9522,35.2332 69 | British Columbia,Canada,2020-03-07T03:53:03,21,0,4,49.2827,-123.1207 70 | ,Israel,2020-03-06T20:33:03,21,0,2,31.0000,35.0000 71 | Grand Princess Cruise Ship,US,2020-03-07T01:33:02,21,0,0,37.6489,-122.6655 72 | ,Portugal,2020-03-07T18:33:02,20,0,0,39.3999,-8.2245 73 | ,Czech Republic,2020-03-07T02:03:29,19,0,0,49.8175,15.4730 74 | ,Ireland,2020-03-06T20:43:03,18,0,0,53.1424,-7.6921 75 | Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 76 | ,Vietnam,2020-03-07T10:13:23,18,0,16,16.0000,108.0000 77 | ,Algeria,2020-03-06T01:29:39,17,0,0,28.0339,1.6596 78 | ,Oman,2020-03-05T17:53:02,16,0,2,21.0000,57.0000 79 | ,Egypt,2020-03-06T13:03:13,15,0,1,26.0000,30.0000 80 | ,Finland,2020-03-06T13:03:12,15,0,1,64.0000,26.0000 81 | "Los Angeles, CA",US,2020-03-07T23:53:03,14,0,0,34.0522,-118.2437 82 | Queensland,Australia,2020-03-05T17:33:06,13,0,8,-28.0167,153.4000 83 | ,Brazil,2020-03-06T20:33:03,13,0,0,-14.2350,-51.9253 84 | ,Ecuador,2020-03-05T17:53:02,13,0,0,-1.8312,-78.1834 85 | ,Russia,2020-03-06T20:43:03,13,0,2,60.0000,90.0000 86 | ,Croatia,2020-03-07T10:13:23,12,0,0,45.1667,15.5000 87 | Victoria,Australia,2020-03-07T02:03:30,11,0,7,-37.8136,144.9631 88 | "New York County, NY",US,2020-03-07T18:23:05,11,0,0,40.7128,-74.0060 89 | ,Estonia,2020-03-06T13:03:13,10,0,0,58.5953,25.0136 90 | Macau,Macau,2020-03-06T10:23:03,10,0,10,22.1667,113.5500 91 | ,Azerbaijan,2020-03-07T02:13:09,9,0,0,40.1431,47.5769 92 | ,Romania,2020-03-07T10:13:23,9,0,3,46.0000,25.0000 93 | "San Francisco County, CA",US,2020-03-07T23:53:03,9,0,0,37.7749,-122.4194 94 | ,Argentina,2020-03-07T02:13:09,8,0,0,-38.4161,-63.6167 95 | ,Qatar,2020-03-04T00:03:15,8,0,0,25.3548,51.1839 96 | South Australia,Australia,2020-03-06T04:23:08,7,0,2,-34.9285,138.6007 97 | ,Slovenia,2020-03-06T15:33:03,7,0,0,46.1512,14.9955 98 | ,Belarus,2020-03-04T12:43:03,6,0,0,53.7098,27.9534 99 | ,Mexico,2020-03-06T16:43:04,6,0,1,23.0000,-102.0000 100 | ,Pakistan,2020-03-06T13:03:12,6,0,0,30.3753,69.3451 101 | ,Philippines,2020-03-07T10:13:23,6,1,1,13.0000,122.0000 102 | "Cook County, IL",US,2020-03-07T01:53:03,6,0,2,41.7377,-87.6976 103 | ,French Guiana,2020-03-07T03:23:05,5,0,0,3.9339,-53.1258 104 | ,New Zealand,2020-03-07T02:03:29,5,0,0,-40.9006,174.8860 105 | ,Poland,2020-03-06T16:43:04,5,0,0,51.9194,19.1451 106 | ,Saudi Arabia,2020-03-05T17:53:03,5,0,0,24.0000,45.0000 107 | "Harris County, TX",US,2020-03-07T05:13:03,5,0,0,29.7752,-95.3103 108 | "Placer County, CA",US,2020-03-06T23:13:07,5,1,0,39.0916,-120.8039 109 | "Unassigned Location, WA",US,2020-03-06T00:33:03,5,0,0,47.7511,-120.7401 110 | ,Chile,2020-03-05T18:13:04,4,0,0,-35.6751,-71.5430 111 | ,Georgia,2020-03-05T13:53:03,4,0,0,42.3154,43.3569 112 | ,Hungary,2020-03-07T03:53:03,4,0,0,47.1625,19.5033 113 | ,Indonesia,2020-03-06T12:33:03,4,0,0,-0.7893,113.9213 114 | ,Senegal,2020-03-04T20:43:02,4,0,0,14.4974,-14.4524 115 | "Bergen County, NJ",US,2020-03-07T02:53:02,4,0,0,40.9263,-74.0770 116 | "Nassau County, NY",US,2020-03-07T00:03:28,4,0,0,40.6546,-73.5594 117 | Western Australia,Australia,2020-03-05T17:13:35,3,1,0,-31.9505,115.8605 118 | ,Bosnia and Herzegovina,2020-03-07T02:13:09,3,0,0,43.9159,17.6791 119 | " Montreal, QC",Canada,2020-03-07T02:23:08,3,0,0,45.5017,-73.5673 120 | ,Malta,2020-03-07T20:43:03,3,0,0,35.9375,14.3754 121 | ,North Macedonia,2020-03-06T20:23:11,3,0,0,41.6086,21.7453 122 | ,Saint Barthelemy,2020-03-04T02:43:03,3,0,0,17.9000,-62.8333 123 | "Contra Costa County, CA",US,2020-03-06T19:43:02,3,0,0,37.8534,-121.9018 124 | "Douglas County, CO",US,2020-03-07T01:53:03,3,0,0,39.2587,-104.9389 125 | "Fort Bend County, TX",US,2020-03-07T02:03:30,3,0,0,29.5693,-95.8143 126 | "Fulton County, GA",US,2020-03-07T16:53:03,3,0,0,33.8034,-84.3963 127 | "Maricopa County, AZ",US,2020-03-07T19:53:02,3,0,1,33.2918,-112.4291 128 | "Montgomery County, MD",US,2020-03-06T04:03:17,3,0,0,39.1547,-77.2405 129 | "Orange County, CA",US,2020-03-04T02:13:11,3,0,0,33.7879,-117.8531 130 | "Providence County, RI",US,2020-03-07T02:23:08,3,0,0,41.8882,-71.4774 131 | "San Diego County, CA",US,2020-03-05T20:33:03,3,0,1,32.7157,-117.1611 132 | "Suffolk County, MA",US,2020-03-06T18:33:03,3,0,1,42.3601,-71.0589 133 | "Washington County, OR",US,2020-03-07T20:13:14,3,0,0,45.5470,-123.1386 134 | ,Dominican Republic,2020-03-06T15:33:03,2,0,0,18.7357,-70.1627 135 | ,Luxembourg,2020-03-06T01:29:39,2,0,0,49.8144,6.1317 136 | ,Martinique,2020-03-07T03:23:05,2,0,0,14.6415,-61.0242 137 | ,Morocco,2020-03-05T13:53:03,2,0,0,31.7917,-7.0926 138 | " Norfolk County, MA",US,2020-03-06T18:33:03,2,0,0,42.1767,-71.1449 139 | "Alameda County, CA",US,2020-03-07T13:13:14,2,0,0,37.6017,-121.7195 140 | "Broward County, FL",US,2020-03-07T04:43:02,2,0,0,26.1901,-80.3659 141 | "Denver County, CO",US,2020-03-06T23:33:02,2,0,0,39.7392,-104.9903 142 | "Fairfield County, CT",US,2020-03-07T20:13:14,2,0,0,41.2560,-73.3709 143 | "Floyd County, GA",US,2020-03-07T16:53:03,2,0,0,34.2829,-85.2308 144 | "Grafton County, NH",US,2020-03-03T23:33:03,2,0,0,43.9088,-71.8260 145 | "Hillsborough, FL",US,2020-03-03T18:33:02,2,0,0,27.9904,-82.3018 146 | "Lee County, FL",US,2020-03-07T16:43:02,2,0,0,26.6630,-81.9535 147 | "Pinal County, AZ",US,2020-03-07T17:13:23,2,0,0,32.8162,-111.2845 148 | "Rockland County, NY",US,2020-03-07T16:43:02,2,0,0,41.1489,-73.9830 149 | "Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0,38.4747,-121.3542 150 | "San Benito, CA",US,2020-02-03T03:53:02,2,0,0,36.5761,-120.9876 151 | "San Mateo, CA",US,2020-03-03T00:43:02,2,0,0,37.5630,-122.3255 152 | "Saratoga County, NY",US,2020-03-07T18:23:05,2,0,0,43.0324,-73.9360 153 | "Summit County, CO",US,2020-03-06T01:29:39,2,0,0,39.5912,-106.0640 154 | ,Afghanistan,2020-02-24T23:33:02,1,0,0,33.0000,65.0000 155 | ,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 156 | ,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 157 | Tasmania,Australia,2020-03-02T20:53:02,1,0,0,-41.4545,145.9707 158 | ,Bhutan,2020-03-06T15:43:02,1,0,0,27.5142,90.4336 159 | ,Cambodia,2020-02-12T07:43:02,1,0,1,11.5500,104.9167 160 | ,Cameroon,2020-03-06T15:43:02,1,0,0,3.8480,11.5021 161 | "Calgary, Alberta",Canada,2020-03-06T13:13:34,1,0,0,51.0447,-114.0719 162 | "Edmonton, Alberta",Canada,2020-03-07T02:23:08,1,0,0,53.5461,-113.4938 163 | "London, ON",Canada,2020-02-12T18:53:03,1,0,1,42.9849,-81.2453 164 | ,Colombia,2020-03-07T00:43:02,1,0,0,4.5709,-74.2973 165 | ,Costa Rica,2020-03-07T00:43:02,1,0,0,9.7489,-83.7534 166 | ,Faroe Islands,2020-03-04T12:53:03,1,0,0,61.8926,-6.9118 167 | ,Gibraltar,2020-03-04T13:03:13,1,0,0,36.1408,-5.3536 168 | ,Jordan,2020-03-03T15:33:02,1,0,0,31.2400,36.5100 169 | ,Latvia,2020-03-04T01:33:07,1,0,0,56.8796,24.6032 170 | ,Liechtenstein,2020-03-04T01:33:07,1,0,0,47.1400,9.5500 171 | ,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 172 | Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 173 | ,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 174 | ,Nepal,2020-02-12T14:43:03,1,0,1,28.1667,84.2500 175 | ,Nigeria,2020-02-28T16:23:03,1,0,0,9.0820,8.6753 176 | ,Peru,2020-03-06T15:43:02,1,0,0,-9.1900,-75.0152 177 | ,Serbia,2020-03-06T15:43:02,1,0,0,44.0165,21.0059 178 | ,Slovakia,2020-03-06T13:03:14,1,0,0,48.6690,19.6990 179 | ,South Africa,2020-03-06T15:43:02,1,0,0,-30.5595,22.9375 180 | ,Sri Lanka,2020-02-08T03:43:03,1,0,1,7.0000,81.0000 181 | ,Togo,2020-03-07T02:13:09,1,0,0,8.6195,0.8248 182 | ,Tunisia,2020-03-04T01:33:07,1,0,0,34.0000,9.0000 183 | "Charleston County, SC",US,2020-03-07T01:53:03,1,0,0,32.7957,-79.7848 184 | "Chatham County, NC",US,2020-03-06T16:13:15,1,0,0,35.7211,-79.1781 185 | "Clark County, NV",US,2020-03-05T20:53:03,1,0,0,36.0796,-115.0940 186 | "Clark County, WA",US,2020-03-07T20:03:07,1,0,0,45.7466,-122.5194 187 | "Cobb County, GA",US,2020-03-07T16:53:03,1,0,0,33.8999,-84.5641 188 | "Davis County, UT",US,2020-03-07T04:43:02,1,0,0,40.9629,-112.0953 189 | "Delaware County, PA",US,2020-03-06T15:33:03,1,0,0,39.9078,-75.3879 190 | "Douglas County, NE",US,2020-03-06T23:33:02,1,0,0,41.3148,-96.1951 191 | "El Paso County, CO",US,2020-03-07T01:13:21,1,0,0,38.9108,-104.4723 192 | "Fayette County, KY",US,2020-03-06T23:23:03,1,0,0,38.0606,-84.4803 193 | "Grant County, WA",US,2020-03-05T20:23:07,1,0,0,47.1981,-119.3732 194 | "Honolulu County, HI",US,2020-03-07T02:03:30,1,0,0,21.3070,-157.8584 195 | "Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0,40.7450,-123.8695 196 | "Jackson County, OR ",US,2020-03-07T20:03:06,1,0,0,42.3345,-122.7647 197 | "Jefferson County, WA",US,2020-03-07T16:43:02,1,0,0,47.7425,-123.3040 198 | "Kershaw County, SC",US,2020-03-07T02:03:30,1,0,0,34.3672,-80.5883 199 | "Klamath County, OR",US,2020-03-07T20:13:14,1,0,0,42.6953,-121.6142 200 | "Madera County, CA",US,2020-03-07T20:13:14,1,0,0,37.2519,-119.6963 201 | "Madison, WI",US,2020-03-03T15:53:03,1,0,1,43.0731,-89.4012 202 | "Marion County, IN",US,2020-03-06T17:13:12,1,0,0,39.8362,-86.1752 203 | "Middlesex County, MA",US,2020-03-07T03:53:03,1,0,0,41.9120,-70.7168 204 | "Pierce County, WA",US,2020-03-07T03:13:44,1,0,0,47.0676,-122.1295 205 | "Plymouth County, MA",US,2020-03-07T03:53:03,1,0,0,42.1615,-70.7928 206 | "Ramsey County, MN",US,2020-03-06T23:23:03,1,0,0,44.9964,-93.0616 207 | "San Antonio, TX",US,2020-02-13T18:53:02,1,0,0,29.4241,-98.4936 208 | "Santa Cruz County, CA",US,2020-03-07T23:43:03,1,0,0,36.9741,-122.0308 209 | "Santa Rosa County, FL",US,2020-03-05T20:03:03,1,0,0,30.7690,-86.9824 210 | "Sarasota, FL",US,2020-03-02T03:23:06,1,0,0,27.3364,-82.5307 211 | "Sonoma County, CA",US,2020-03-02T20:53:02,1,0,0,38.5780,-122.9888 212 | "Tulsa County, OK",US,2020-03-07T04:43:02,1,0,0,36.1593,-95.9410 213 | "Umatilla, OR",US,2020-03-02T20:23:16,1,0,0,45.7750,-118.7606 214 | "Wake County, NC",US,2020-03-03T20:53:02,1,0,0,35.8032,-78.5661 215 | "Washoe County, NV",US,2020-03-06T19:43:02,1,0,0,40.5608,-119.6035 216 | "Wayne County, PA",US,2020-03-06T16:13:15,1,0,0,41.6739,-75.2479 217 | "Williamson County, TN",US,2020-03-05T23:33:03,1,0,0,35.9179,-86.8622 218 | "Yolo County, CA",US,2020-03-06T20:13:14,1,0,0,38.7646,-121.9018 219 | ,Ukraine,2020-03-03T15:33:02,1,0,0,48.3794,31.1656 220 | ,Vatican City,2020-03-06T15:43:02,1,0,0,41.9029,12.4534 221 | From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 222 | Northern Territory,Australia,2020-03-06T04:33:03,0,0,0,-12.4634,130.8456 223 | "Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,29.3829,-98.6134 224 | "Montgomery County, TX",US,2020-03-07T19:53:02,0,0,0,30.3213,-95.4778 225 | "Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,41.2545,-95.9758 226 | "Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,38.2721,-121.9399 227 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-16-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,China,2020-03-16T14:38:45,67798,3099,55142,30.9756,112.2707 3 | ,Italy,2020-03-16T17:33:03,27980,2158,2749,41.8719,12.5674 4 | ,Iran,2020-03-16T14:38:45,14991,853,4590,32.4279,53.6880 5 | ,Spain,2020-03-16T20:13:11,9942,342,530,40.4637,-3.7492 6 | ,"Korea, South",2020-03-16T14:38:45,8236,75,1137,35.9078,127.7669 7 | ,Germany,2020-03-16T20:13:11,7272,17,67,51.1657,10.4515 8 | France,France,2020-03-16T20:13:11,6633,148,12,46.2276,2.2137 9 | ,Switzerland,2020-03-15T18:20:18,2200,14,4,46.8182,8.2275 10 | United Kingdom,United Kingdom,2020-03-16T19:13:13,1543,55,20,55.3781,-3.4360 11 | Netherlands,Netherlands,2020-03-16T14:38:46,1413,24,2,52.1326,5.2913 12 | Guangdong,China,2020-03-16T01:53:03,1361,8,1306,23.3417,113.4244 13 | ,Norway,2020-03-16T21:13:12,1333,3,1,60.4720,8.4689 14 | Henan,China,2020-03-14T09:53:08,1273,22,1250,33.8820,113.6140 15 | Zhejiang,China,2020-03-16T14:38:45,1231,1,1216,29.1832,120.0934 16 | ,Sweden,2020-03-16T14:38:45,1103,6,1,60.1282,18.6435 17 | ,Belgium,2020-03-16T14:38:45,1058,5,1,50.5039,4.4699 18 | ,Austria,2020-03-16T15:13:09,1018,3,6,47.5162,14.5501 19 | Hunan,China,2020-03-14T08:33:03,1018,4,1014,27.6104,111.7088 20 | Anhui,China,2020-03-11T02:18:14,990,6,984,31.8257,117.2264 21 | New York,US,2020-03-16T21:53:03,967,10,0,42.1657,-74.9481 22 | Jiangxi,China,2020-03-12T02:13:04,935,1,934,27.6140,115.7221 23 | Denmark,Denmark,2020-03-16T18:33:03,914,3,1,56.2639,9.5018 24 | Washington,US,2020-03-16T23:53:03,904,48,1,47.4009,-121.4905 25 | ,Japan,2020-03-16T14:38:45,825,27,144,36.2048,138.2529 26 | Shandong,China,2020-03-16T14:38:45,760,7,746,36.3427,118.1498 27 | Diamond Princess,Cruise Ship,2020-03-13T14:13:25,696,7,325,35.4498,139.6649 28 | Jiangsu,China,2020-03-15T01:53:02,631,0,631,32.9711,119.4550 29 | Chongqing,China,2020-03-15T03:53:04,576,6,570,30.0572,107.8740 30 | ,Malaysia,2020-03-16T14:38:45,566,0,42,4.2105,101.9758 31 | California,US,2020-03-16T23:53:03,557,7,6,36.1162,-119.6816 32 | Sichuan,China,2020-03-15T18:20:18,539,3,516,30.6171,102.7103 33 | Heilongjiang,China,2020-03-16T14:38:45,482,13,455,47.8620,127.7615 34 | Beijing,China,2020-03-16T14:38:45,452,8,360,40.1824,116.4142 35 | ,Qatar,2020-03-16T15:13:09,439,0,4,25.3548,51.1839 36 | Shanghai,China,2020-03-16T14:38:45,355,3,325,31.2020,121.4491 37 | ,Greece,2020-03-16T00:22:10,331,4,8,39.0742,21.8243 38 | ,Portugal,2020-03-16T14:38:45,331,0,3,39.3999,-8.2245 39 | Hebei,China,2020-03-13T11:09:03,318,6,310,38.0428,114.5149 40 | ,Czechia,2020-03-16T23:53:02,298,0,3,49.8175,15.4730 41 | Fujian,China,2020-03-11T02:18:14,296,1,295,26.0789,117.9874 42 | ,Finland,2020-03-16T14:38:45,277,0,10,61.9241,25.7482 43 | ,Israel,2020-03-16T14:38:45,255,0,4,31.0461,34.8516 44 | ,Slovenia,2020-03-16T14:38:45,253,1,0,46.1512,14.9955 45 | Guangxi,China,2020-03-16T14:38:45,252,2,248,23.8298,108.7881 46 | Shaanxi,China,2020-03-16T14:38:45,245,2,233,35.1917,108.8701 47 | ,Singapore,2020-03-16T14:38:45,243,0,109,1.3521,103.8198 48 | ,Bahrain,2020-03-16T20:33:03,214,1,77,26.0667,50.5577 49 | ,Estonia,2020-03-16T14:38:45,205,0,1,58.5953,25.0136 50 | ,Brazil,2020-03-16T02:33:08,200,0,1,-14.2350,-51.9253 51 | Massachusetts,US,2020-03-16T21:53:03,197,0,1,42.2302,-71.5301 52 | ,Iceland,2020-03-16T02:13:15,180,0,0,64.9631,-19.0208 53 | New Jersey,US,2020-03-16T22:13:21,178,2,1,40.2989,-74.5210 54 | Ontario,Canada,2020-03-16T16:13:26,177,0,5,51.2538,-85.3232 55 | ,Poland,2020-03-16T21:13:17,177,4,13,51.9194,19.1451 56 | Yunnan,China,2020-03-16T23:53:02,176,2,172,24.9740,101.4870 57 | New South Wales,Australia,2020-03-16T14:38:46,171,2,4,-33.8688,151.2093 58 | ,Ireland,2020-03-16T14:38:45,169,2,0,53.1424,-7.6921 59 | Hainan,China,2020-03-16T14:38:45,168,6,161,19.1959,109.7453 60 | Colorado,US,2020-03-16T23:53:03,160,1,0,39.0598,-105.3111 61 | ,Romania,2020-03-16T14:38:45,158,0,9,45.9432,24.9668 62 | ,Chile,2020-03-16T14:38:45,155,0,0,-35.6751,-71.5430 63 | Hong Kong,China,2020-03-16T14:38:45,155,4,84,22.3000,114.2000 64 | Florida,US,2020-03-16T22:13:21,155,5,0,27.7663,-81.6868 65 | ,Egypt,2020-03-16T15:53:45,150,2,27,26.8206,30.8025 66 | ,Thailand,2020-03-16T14:38:45,147,1,35,15.8700,100.9925 67 | Guizhou,China,2020-03-16T14:38:45,146,2,144,26.8154,106.8748 68 | ,Philippines,2020-03-16T14:38:45,142,12,2,12.8797,121.7740 69 | Tianjin,China,2020-03-15T18:20:18,136,3,133,39.3054,117.3230 70 | ,Pakistan,2020-03-16T14:38:45,136,0,2,30.3753,69.3451 71 | Louisiana,US,2020-03-16T22:13:21,136,3,0,31.1695,-91.8678 72 | ,Indonesia,2020-03-16T14:38:45,134,5,8,-0.7893,113.9213 73 | Gansu,China,2020-03-15T18:20:18,133,2,91,36.0611,103.8343 74 | Shanxi,China,2020-03-13T11:09:03,133,0,133,37.5777,112.2922 75 | Liaoning,China,2020-03-16T14:38:45,125,1,115,41.2956,122.6085 76 | ,Iraq,2020-03-16T02:13:15,124,10,26,33.2232,43.6793 77 | ,Kuwait,2020-03-16T14:38:45,123,0,9,29.3117,47.4818 78 | Georgia,US,2020-03-16T16:53:06,121,1,0,33.0406,-83.6431 79 | ,India,2020-03-16T14:38:45,119,2,13,20.5937,78.9629 80 | ,Saudi Arabia,2020-03-16T01:13:12,118,0,2,23.8859,45.0792 81 | ,San Marino,2020-03-16T01:33:03,109,7,4,43.9424,12.4578 82 | Illinois,US,2020-03-16T22:13:21,105,0,2,40.3495,-88.9861 83 | British Columbia,Canada,2020-03-16T19:13:13,103,4,4,53.7267,-127.6476 84 | ,Lebanon,2020-03-16T00:22:11,99,3,1,33.8547,35.8623 85 | ,United Arab Emirates,2020-03-16T00:22:11,98,0,23,23.4241,53.8478 86 | Jilin,China,2020-03-16T00:22:10,93,1,92,43.6661,126.1923 87 | ,Russia,2020-03-16T14:38:45,90,0,8,61.5240,105.3188 88 | ,Peru,2020-03-16T14:38:45,86,0,0,-9.1900,-75.0152 89 | Texas,US,2020-03-16T23:53:03,85,0,0,31.0545,-97.5635 90 | ,Luxembourg,2020-03-16T01:53:03,77,1,0,49.8153,6.1296 91 | Pennsylvania,US,2020-03-16T20:13:20,77,0,0,40.5908,-77.2098 92 | Xinjiang,China,2020-03-11T02:18:14,76,3,73,41.1129,85.2401 93 | Inner Mongolia,China,2020-03-16T14:38:45,75,1,73,44.0935,113.9448 94 | Ningxia,China,2020-03-16T14:38:45,75,0,75,37.2692,106.1655 95 | Victoria,Australia,2020-03-16T14:38:45,71,0,8,-37.8136,144.9631 96 | Queensland,Australia,2020-03-16T14:38:46,68,0,8,-28.0167,153.4000 97 | ,Taiwan*,2020-03-16T14:38:45,67,1,20,23.7000,121.0000 98 | ,Slovakia,2020-03-16T14:38:45,63,0,0,48.6690,19.6990 99 | ,South Africa,2020-03-16T14:38:45,62,0,0,-30.5595,22.9375 100 | ,Vietnam,2020-03-16T14:53:04,61,0,16,14.0583,108.2772 101 | ,Croatia,2020-03-16T14:38:45,57,0,2,45.1000,15.2000 102 | ,Argentina,2020-03-16T14:38:45,56,2,1,-38.4161,-63.6167 103 | Alberta,Canada,2020-03-16T02:33:09,56,0,0,53.9333,-116.5765 104 | ,Panama,2020-03-16T14:38:45,55,1,0,8.5380,-80.7821 105 | ,Serbia,2020-03-16T14:38:45,55,0,1,44.0165,21.0059 106 | ,Algeria,2020-03-16T14:38:45,54,4,12,28.0339,1.6596 107 | ,Brunei,2020-03-16T14:38:45,54,0,0,4.5353,114.7277 108 | ,Colombia,2020-03-16T14:38:45,54,0,0,4.5709,-74.2973 109 | Minnesota,US,2020-03-16T16:53:06,54,0,0,45.6945,-93.9002 110 | ,Mexico,2020-03-16T14:38:45,53,0,4,23.6345,-102.5528 111 | Michigan,US,2020-03-16T14:38:46,53,0,0,43.3266,-84.5361 112 | ,Armenia,2020-03-16T21:13:17,52,0,0,40.0691,45.0382 113 | ,Bulgaria,2020-03-16T14:38:45,52,2,0,42.7339,25.4858 114 | Tennessee,US,2020-03-16T22:13:21,52,0,0,35.7478,-86.6923 115 | ,Albania,2020-03-16T14:38:45,51,1,0,41.1533,20.1683 116 | Quebec,Canada,2020-03-16T20:13:20,50,0,0,52.9399,-73.5491 117 | Ohio,US,2020-03-16T20:13:21,50,0,0,40.3888,-82.7649 118 | Virginia,US,2020-03-16T22:13:21,49,1,0,37.7693,-78.1700 119 | Diamond Princess,US,2020-03-16T16:53:06,47,0,0,35.4437,139.6380 120 | Wisconsin,US,2020-03-16T20:13:20,47,0,1,44.2685,-89.6165 121 | Nevada,US,2020-03-16T20:13:20,45,1,0,38.3135,-117.0554 122 | Maryland,US,2020-03-16T20:13:20,41,0,3,39.0639,-76.8021 123 | ,Hungary,2020-03-16T14:38:45,39,1,1,47.1625,19.5033 124 | Oregon,US,2020-03-16T02:33:09,39,1,0,44.5720,-122.0709 125 | Utah,US,2020-03-16T22:33:03,39,0,0,40.1500,-111.8624 126 | North Carolina,US,2020-03-16T23:53:03,38,0,0,35.6301,-79.8064 127 | ,Ecuador,2020-03-16T02:33:08,37,2,0,-1.8312,-78.1834 128 | ,Belarus,2020-03-16T14:38:45,36,0,3,53.7098,27.9534 129 | ,Costa Rica,2020-03-16T02:33:08,35,0,0,9.7489,-83.7534 130 | ,Latvia,2020-03-16T14:38:45,34,0,1,56.8796,24.6032 131 | ,Cyprus,2020-03-16T02:33:08,33,0,0,35.1264,33.4299 132 | ,Georgia,2020-03-16T02:13:16,33,0,1,42.3154,43.3569 133 | South Carolina,US,2020-03-16T22:33:03,33,1,0,33.8569,-80.9450 134 | ,Malta,2020-03-16T15:33:03,30,0,2,35.9375,14.3754 135 | Connecticut,US,2020-03-16T20:13:20,30,0,0,41.5978,-72.7554 136 | South Australia,Australia,2020-03-16T14:38:46,29,0,3,-34.9285,138.6007 137 | ,Morocco,2020-03-16T14:38:45,29,1,1,31.7917,-7.0926 138 | Alabama,US,2020-03-16T22:33:03,29,0,0,32.3182,-86.9023 139 | Western Australia,Australia,2020-03-16T14:38:46,28,1,0,-31.9505,115.8605 140 | ,Sri Lanka,2020-03-16T15:53:45,28,0,1,7.8731,80.7718 141 | ,Bosnia and Herzegovina,2020-03-16T21:13:17,25,0,0,43.9159,17.6791 142 | Indiana,US,2020-03-16T22:33:03,25,1,0,39.8494,-86.2583 143 | ,Senegal,2020-03-16T01:13:13,24,0,2,14.4974,-14.4524 144 | ,Moldova,2020-03-16T00:22:11,23,0,0,47.4116,28.3699 145 | Iowa,US,2020-03-16T23:53:03,23,0,0,42.0115,-93.2105 146 | ,Oman,2020-03-16T00:22:11,22,0,9,21.4735,55.9754 147 | Arkansas,US,2020-03-16T17:13:23,22,0,0,34.9697,-92.3731 148 | District of Columbia,US,2020-03-16T23:53:03,22,0,0,38.8974,-77.0268 149 | ,Afghanistan,2020-03-16T14:38:45,21,0,1,33.9391,67.7100 150 | Kentucky,US,2020-03-16T18:33:03,21,1,1,37.6681,-84.6701 151 | Rhode Island,US,2020-03-16T18:14:12,21,0,0,41.6809,-71.5118 152 | ,Tunisia,2020-03-16T01:13:13,20,0,0,33.8869,9.5375 153 | Grand Princess,US,2020-03-16T17:13:23,20,0,0,37.6489,-122.6655 154 | Qinghai,China,2020-03-11T02:18:14,18,0,18,35.7452,95.9956 155 | Faroe Islands,Denmark,2020-03-16T14:38:45,18,0,0,61.8926,-6.9118 156 | ,North Macedonia,2020-03-16T14:38:45,18,0,1,41.6086,21.7453 157 | ,Turkey,2020-03-16T01:13:13,18,0,0,38.9637,35.2433 158 | Arizona,US,2020-03-16T17:13:23,18,0,1,33.7298,-111.4312 159 | Nebraska,US,2020-03-16T17:13:23,18,0,0,41.1254,-98.2681 160 | ,Jordan,2020-03-16T15:13:35,17,0,1,30.5852,36.2384 161 | ,Lithuania,2020-03-16T14:38:45,17,0,1,55.1694,23.8813 162 | Maine,US,2020-03-16T18:14:12,17,0,0,44.6939,-69.3819 163 | New Hampshire,US,2020-03-16T22:33:03,17,0,0,43.4525,-71.5639 164 | New Mexico,US,2020-03-16T02:53:12,17,0,0,34.8405,-106.2485 165 | ,Venezuela,2020-03-16T00:53:03,17,0,0,6.4238,-66.5897 166 | ,Azerbaijan,2020-03-16T14:38:45,15,1,6,40.1431,47.5769 167 | ,Burkina Faso,2020-03-16T14:38:45,15,0,0,12.2383,-1.5616 168 | ,Martinique,2020-03-16T14:38:45,15,1,0,14.6415,-61.0242 169 | ,Maldives,2020-03-15T18:20:18,13,0,0,3.2028,73.2207 170 | Mississippi,US,2020-03-16T22:33:03,13,0,0,32.7416,-89.6787 171 | Vermont,US,2020-03-16T17:13:23,12,0,0,44.0459,-72.7107 172 | ,Bolivia,2020-03-16T14:38:45,11,0,0,-16.2902,-63.5887 173 | Macau,China,2020-03-16T00:22:10,11,0,10,22.1667,113.5500 174 | ,Dominican Republic,2020-03-14T20:53:02,11,0,0,18.7357,-70.1627 175 | ,French Guiana,2020-03-16T14:38:46,11,0,0,3.9339,-53.1258 176 | Kansas,US,2020-03-16T17:13:23,11,1,0,38.5266,-96.7265 177 | ,Jamaica,2020-03-16T01:53:03,10,0,2,18.1096,-77.2975 178 | ,Kazakhstan,2020-03-16T14:38:45,10,0,0,48.0196,66.9237 179 | Oklahoma,US,2020-03-16T18:14:12,10,0,0,35.5653,-96.9289 180 | South Dakota,US,2020-03-16T20:13:20,10,1,0,44.2998,-99.4388 181 | ,Reunion,2020-03-16T14:38:45,9,0,0,-21.1151,55.5364 182 | ,Bangladesh,2020-03-16T14:38:45,8,0,2,23.6850,90.3563 183 | ,New Zealand,2020-03-15T18:20:18,8,0,0,-40.9006,174.8860 184 | ,Paraguay,2020-03-16T14:38:45,8,0,0,-23.4425,-58.4438 185 | Delaware,US,2020-03-16T20:13:20,8,0,0,39.3185,-75.5071 186 | ,Uruguay,2020-03-16T14:38:45,8,0,0,-32.5228,-55.7658 187 | Tasmania,Australia,2020-03-16T14:38:46,7,0,0,-41.4545,145.9707 188 | ,Cambodia,2020-03-14T12:53:07,7,0,1,12.5657,104.9910 189 | Manitoba,Canada,2020-03-16T02:53:12,7,0,0,53.7609,-98.8139 190 | Saskatchewan,Canada,2020-03-16T20:13:20,7,0,0,52.9399,-106.4509 191 | ,Monaco,2020-03-16T14:38:45,7,0,0,43.7384,7.4246 192 | Hawaii,US,2020-03-16T02:53:12,7,0,0,21.0943,-157.4983 193 | Montana,US,2020-03-15T18:20:19,7,0,0,46.9219,-110.4544 194 | ,Ukraine,2020-03-16T21:13:17,7,1,0,48.3794,31.1656 195 | New Brunswick,Canada,2020-03-16T02:53:12,6,0,0,46.5653,-66.4619 196 | ,Ghana,2020-03-15T18:20:18,6,0,0,7.9465,-1.0232 197 | ,Guadeloupe,2020-03-16T14:38:45,6,0,0,16.2650,-61.5510 198 | ,Honduras,2020-03-16T14:38:45,6,0,0,15.2000,-86.2419 199 | Missouri,US,2020-03-16T17:13:23,6,0,0,38.4561,-92.2884 200 | Channel Islands,United Kingdom,2020-03-16T14:38:45,6,0,0,49.3723,-2.3644 201 | ,Uzbekistan,2020-03-16T14:38:45,6,0,0,41.3775,64.5853 202 | Nova Scotia,Canada,2020-03-16T17:53:03,5,0,0,44.6820,-63.7443 203 | ,Ethiopia,2020-03-16T14:38:45,5,0,0,9.1450,40.4897 204 | French Guiana,France,2020-03-16T14:38:45,5,0,0,4.0000,-53.0000 205 | ,Rwanda,2020-03-16T01:33:03,5,0,0,-1.9403,29.8739 206 | Idaho,US,2020-03-15T18:20:19,5,0,0,44.2405,-114.4788 207 | Puerto Rico,US,2020-03-16T00:22:11,5,0,0,18.2208,-66.5901 208 | ,Cameroon,2020-03-16T02:33:08,4,0,0,3.8480,11.5021 209 | ,Cuba,2020-03-13T23:53:02,4,0,0,21.5218,-77.7812 210 | ,Guyana,2020-03-15T18:20:19,4,1,0,4.8604,-58.9302 211 | ,Liechtenstein,2020-03-14T20:53:02,4,0,0,47.1660,9.5554 212 | ,Trinidad and Tobago,2020-03-16T14:38:45,4,0,0,10.6918,-61.2225 213 | French Polynesia,France,2020-03-15T18:20:19,3,0,0,-17.6797,-149.4068 214 | Guadeloupe,France,2020-03-16T14:38:45,3,0,0,16.2500,-61.5833 215 | Saint Barthelemy,France,2020-03-16T14:38:45,3,0,0,17.9000,-62.8333 216 | ,Guam,2020-03-16T02:13:16,3,0,0,13.4443,144.7937 217 | ,Kenya,2020-03-16T00:22:11,3,0,0,-0.0236,37.9062 218 | ,Puerto Rico,2020-03-16T14:38:45,3,0,0,18.2000,-66.5000 219 | ,Seychelles,2020-03-16T01:13:13,3,0,0,-4.6796,55.4920 220 | Guam,US,2020-03-15T18:20:19,3,0,0,13.4443,144.7937 221 | Wyoming,US,2020-03-15T02:53:03,3,0,0,42.7560,-107.3025 222 | ,Andorra,2020-03-16T02:33:08,2,0,1,42.5063,1.5218 223 | ,Aruba,2020-03-13T23:53:03,2,0,0,12.5211,-69.9683 224 | Australian Capital Territory,Australia,2020-03-16T14:38:46,2,0,0,-35.4735,149.0124 225 | Grand Princess,Canada,2020-03-16T00:22:11,2,0,0,37.6489,-122.6655 226 | ,Congo (Kinshasa),2020-03-13T22:22:02,2,0,0,-4.0383,21.7587 227 | St Martin,France,2020-03-14T16:33:03,2,0,0,18.0708,-63.0501 228 | ,Guatemala,2020-03-16T14:38:45,2,1,0,15.7835,-90.2308 229 | ,Jersey,2020-03-14T16:33:03,2,0,0,49.1900,-2.1100 230 | ,Kosovo,2020-03-15T18:20:19,2,0,0,42.6026,20.9030 231 | ,Namibia,2020-03-14T16:33:03,2,0,0,-22.9576,18.4904 232 | ,Nigeria,2020-03-13T22:22:02,2,0,0,9.0820,8.6753 233 | ,Saint Lucia,2020-03-16T00:22:11,2,0,0,13.9094,-60.9789 234 | ,Antigua and Barbuda,2020-03-15T18:20:19,1,0,0,17.0608,-61.7964 235 | Northern Territory,Australia,2020-03-14T01:53:03,1,0,0,-12.4634,130.8456 236 | ,Benin,2020-03-16T14:38:46,1,0,0,9.3077,2.3158 237 | ,Bhutan,2020-03-13T22:22:02,1,0,0,27.5142,90.4336 238 | Newfoundland and Labrador,Canada,2020-03-15T02:13:21,1,0,0,53.1355,-57.6604 239 | Prince Edward Island,Canada,2020-03-15T02:13:21,1,0,0,46.5107,-63.4168 240 | ,Central African Republic,2020-03-16T03:33:03,1,0,0,6.6111,20.9394 241 | Tibet,China,2020-03-11T02:18:14,1,0,1,31.6927,88.0924 242 | ,Congo (Brazzaville),2020-03-16T14:38:45,1,0,0,-0.2280,15.8277 243 | ,Cote d'Ivoire,2020-03-13T22:22:02,1,0,0,7.5400,-5.5471 244 | ,Equatorial Guinea,2020-03-15T06:41:54,1,0,0,1.5000,10.0000 245 | ,Eswatini,2020-03-15T06:41:54,1,0,0,-26.5225,31.4659 246 | Mayotte,France,2020-03-16T14:38:45,1,0,0,-12.8431,45.1383 247 | ,Gabon,2020-03-14T13:33:04,1,0,0,-0.8037,11.6094 248 | ,Greenland,2020-03-16T16:53:06,1,0,0,71.7069,-42.6043 249 | ,Guernsey,2020-03-13T22:22:03,1,0,0,49.4500,-2.5800 250 | ,Guinea,2020-03-15T06:41:54,1,0,0,9.9456,-9.6966 251 | ,Holy See,2020-03-13T22:22:02,1,0,0,41.9029,12.4534 252 | ,Liberia,2020-03-16T14:38:46,1,0,0,6.4281,-9.4295 253 | ,Mauritania,2020-03-15T18:20:19,1,0,0,21.0079,-10.9408 254 | ,Mayotte,2020-03-16T14:38:45,1,0,0,-12.8275,45.1662 255 | ,Mongolia,2020-03-13T22:22:02,1,0,0,46.8625,103.8467 256 | ,Nepal,2020-03-13T22:22:03,1,0,1,28.3949,84.1240 257 | Curacao,Netherlands,2020-03-16T00:22:11,1,0,0,12.1696,-68.9900 258 | ,Republic of the Congo,2020-03-16T03:33:03,1,0,0,-1.4400,15.5560 259 | ,Saint Vincent and the Grenadines,2020-03-14T16:33:03,1,0,0,12.9843,-61.2872 260 | ,Somalia,2020-03-16T14:38:46,1,0,0,5.1521,46.1996 261 | ,Sudan,2020-03-14T01:13:32,1,1,0,12.8628,30.2176 262 | ,Suriname,2020-03-14T16:33:03,1,0,0,3.9193,-56.0278 263 | ,Tanzania,2020-03-16T14:38:45,1,0,0,-6.3690,34.8888 264 | ,The Bahamas,2020-03-16T03:33:03,1,0,0,24.2500,-76.0000 265 | ,Togo,2020-03-13T22:22:02,1,0,0,8.6195,0.8248 266 | Alaska,US,2020-03-13T14:53:03,1,0,0,61.3707,-152.4044 267 | North Dakota,US,2020-03-12T09:33:03,1,0,0,47.5289,-99.7840 268 | Virgin Islands,US,2020-03-16T00:22:11,1,0,0,18.3358,-64.8963 269 | Cayman Islands,United Kingdom,2020-03-16T14:53:04,1,1,0,19.3133,-81.2546 270 | Gibraltar,United Kingdom,2020-03-14T16:33:03,1,0,1,36.1408,-5.3536 271 | From Diamond Princess,Australia,2020-03-14T02:33:04,0,0,0,35.4437,139.6380 272 | West Virginia,US,2020-03-10T02:33:04,0,0,0,38.4912,-80.9545 273 | ,occupied Palestinian territory,2020-03-11T20:53:02,0,0,0,31.9522,35.2332 274 | -------------------------------------------------------------------------------- /csse_covid_19_data/csse_covid_19_daily_reports/03-17-2020.csv: -------------------------------------------------------------------------------- 1 | Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude 2 | Hubei,China,2020-03-17T11:53:10,67799,3111,56003,30.9756,112.2707 3 | ,Italy,2020-03-17T18:33:02,31506,2503,2941,41.8719,12.5674 4 | ,Iran,2020-03-17T15:13:09,16169,988,5389,32.4279,53.6880 5 | ,Spain,2020-03-17T20:53:02,11748,533,1028,40.4637,-3.7492 6 | ,Germany,2020-03-17T18:53:02,9257,24,67,51.1657,10.4515 7 | ,"Korea, South",2020-03-17T10:33:03,8320,81,1407,35.9078,127.7669 8 | France,France,2020-03-17T19:13:08,7652,148,12,46.2276,2.2137 9 | ,Switzerland,2020-03-17T16:33:04,2700,27,4,46.8182,8.2275 10 | United Kingdom,United Kingdom,2020-03-17T15:13:09,1950,55,52,55.3781,-3.4360 11 | New York,US,2020-03-17T22:53:03,1706,13,0,42.1657,-74.9481 12 | Netherlands,Netherlands,2020-03-17T15:13:11,1705,43,2,52.1326,5.2913 13 | ,Norway,2020-03-17T19:53:02,1463,3,1,60.4720,8.4689 14 | Guangdong,China,2020-03-17T01:53:03,1364,8,1307,23.3417,113.4244 15 | ,Austria,2020-03-17T15:33:06,1332,3,1,47.5162,14.5501 16 | Henan,China,2020-03-14T09:53:08,1273,22,1250,33.8820,113.6140 17 | ,Belgium,2020-03-17T15:33:06,1243,10,1,50.5039,4.4699 18 | Zhejiang,China,2020-03-17T02:13:21,1232,1,1216,29.1832,120.0934 19 | ,Sweden,2020-03-17T15:33:06,1190,7,1,60.1282,18.6435 20 | Washington,US,2020-03-17T23:33:03,1076,55,1,47.4009,-121.4905 21 | Hunan,China,2020-03-14T08:33:03,1018,4,1014,27.6104,111.7088 22 | Anhui,China,2020-03-11T02:18:14,990,6,984,31.8257,117.2264 23 | Denmark,Denmark,2020-03-17T16:33:04,977,4,1,56.2639,9.5018 24 | Jiangxi,China,2020-03-12T02:13:04,935,1,934,27.6140,115.7221 25 | ,Japan,2020-03-17T16:53:04,878,29,144,36.2048,138.2529 26 | Shandong,China,2020-03-17T00:33:02,761,7,746,36.3427,118.1498 27 | California,US,2020-03-17T22:53:03,698,12,6,36.1162,-119.6816 28 | Diamond Princess,Cruise Ship,2020-03-13T14:13:25,696,7,325,35.4498,139.6649 29 | ,Malaysia,2020-03-17T15:33:06,673,2,49,4.2105,101.9758 30 | Jiangsu,China,2020-03-15T01:53:02,631,0,631,32.9711,119.4550 31 | Chongqing,China,2020-03-15T03:53:04,576,6,570,30.0572,107.8740 32 | Sichuan,China,2020-03-17T08:33:02,540,3,520,30.6171,102.7103 33 | Heilongjiang,China,2020-03-17T01:33:02,482,13,456,47.8620,127.7615 34 | Beijing,China,2020-03-17T10:53:03,456,8,369,40.1824,116.4142 35 | ,Portugal,2020-03-17T15:33:06,448,1,3,39.3999,-8.2245 36 | ,Qatar,2020-03-16T15:13:09,439,0,4,25.3548,51.1839 37 | ,Czechia,2020-03-17T15:33:06,396,0,3,49.8175,15.4730 38 | ,Greece,2020-03-17T16:33:04,387,5,8,39.0742,21.8243 39 | Shanghai,China,2020-03-17T02:13:20,358,3,325,31.2020,121.4491 40 | ,Israel,2020-03-17T20:53:02,337,0,11,31.0461,34.8516 41 | ,Brazil,2020-03-17T15:33:06,321,1,2,-14.2350,-51.9253 42 | ,Finland,2020-03-17T12:33:06,321,0,10,61.9241,25.7482 43 | Hebei,China,2020-03-13T11:09:03,318,6,310,38.0428,114.5149 44 | Fujian,China,2020-03-11T02:18:14,296,1,295,26.0789,117.9874 45 | ,Slovenia,2020-03-17T16:53:04,275,1,0,46.1512,14.9955 46 | New Jersey,US,2020-03-17T20:13:22,267,3,1,40.2989,-74.5210 47 | ,Singapore,2020-03-17T15:33:06,266,0,114,1.3521,103.8198 48 | Guangxi,China,2020-03-17T00:33:02,253,2,248,23.8298,108.7881 49 | Shaanxi,China,2020-03-17T10:53:03,246,3,236,35.1917,108.8701 50 | ,Poland,2020-03-17T20:53:02,238,5,13,51.9194,19.1451 51 | ,Pakistan,2020-03-17T15:33:06,236,0,2,30.3753,69.3451 52 | ,Bahrain,2020-03-17T03:13:15,228,1,81,26.0667,50.5577 53 | ,Estonia,2020-03-17T10:33:03,225,0,1,58.5953,25.0136 54 | ,Ireland,2020-03-17T02:53:03,223,2,5,53.1424,-7.6921 55 | ,Iceland,2020-03-17T15:33:06,220,1,0,64.9631,-19.0208 56 | Massachusetts,US,2020-03-17T22:53:02,218,0,1,42.2302,-71.5301 57 | Florida,US,2020-03-17T23:33:02,216,6,0,27.7663,-81.6868 58 | New South Wales,Australia,2020-03-17T12:33:07,210,4,4,-33.8688,151.2093 59 | ,Chile,2020-03-17T15:33:06,201,0,0,-35.6751,-71.5430 60 | ,Egypt,2020-03-17T18:13:10,196,4,32,26.8206,30.8025 61 | Louisiana,US,2020-03-17T22:53:03,196,4,0,31.1695,-91.8678 62 | ,Philippines,2020-03-17T10:33:03,187,12,5,12.8797,121.7740 63 | Ontario,Canada,2020-03-17T16:53:04,185,1,5,51.2538,-85.3232 64 | ,Romania,2020-03-17T10:33:03,184,0,16,45.9432,24.9668 65 | ,Thailand,2020-03-17T10:33:03,177,1,41,15.8700,100.9925 66 | Yunnan,China,2020-03-16T23:53:02,176,2,172,24.9740,101.4870 67 | ,Indonesia,2020-03-17T10:33:03,172,5,8,-0.7893,113.9213 68 | ,Saudi Arabia,2020-03-17T17:53:03,171,0,6,23.8859,45.0792 69 | Hainan,China,2020-03-16T14:38:45,168,6,161,19.1959,109.7453 70 | Hong Kong,China,2020-03-17T10:13:11,162,4,88,22.3000,114.2000 71 | Illinois,US,2020-03-17T22:53:03,161,1,2,40.3495,-88.9861 72 | Colorado,US,2020-03-17T22:53:03,160,2,0,39.0598,-105.3111 73 | ,Iraq,2020-03-17T15:33:06,154,11,32,33.2232,43.6793 74 | Guizhou,China,2020-03-17T07:33:03,147,2,144,26.8154,106.8748 75 | Georgia,US,2020-03-17T20:13:22,146,1,0,33.0406,-83.6431 76 | ,India,2020-03-17T15:33:06,142,3,14,20.5937,78.9629 77 | ,Luxembourg,2020-03-17T15:33:06,140,1,0,49.8153,6.1296 78 | Tianjin,China,2020-03-15T18:20:18,136,3,133,39.3054,117.3230 79 | Gansu,China,2020-03-15T18:20:18,133,2,91,36.0611,103.8343 80 | Shanxi,China,2020-03-13T11:09:03,133,0,133,37.5777,112.2922 81 | ,Kuwait,2020-03-17T10:53:03,130,0,9,29.3117,47.4818 82 | Liaoning,China,2020-03-17T12:13:13,125,1,120,41.2956,122.6085 83 | ,Lebanon,2020-03-17T10:53:03,120,3,3,33.8547,35.8623 84 | ,Peru,2020-03-17T15:53:12,117,0,1,-9.1900,-75.0152 85 | ,Russia,2020-03-17T15:53:12,114,0,8,61.5240,105.3188 86 | Pennsylvania,US,2020-03-17T23:13:10,112,0,0,40.5908,-77.2098 87 | Texas,US,2020-03-17T20:13:22,110,1,0,31.0545,-97.5635 88 | ,San Marino,2020-03-16T01:33:03,109,7,4,43.9424,12.4578 89 | British Columbia,Canada,2020-03-16T19:13:13,103,4,4,53.7267,-127.6476 90 | ,United Arab Emirates,2020-03-16T00:22:11,98,0,23,23.4241,53.8478 91 | Victoria,Australia,2020-03-17T12:53:09,94,0,8,-37.8136,144.9631 92 | Jilin,China,2020-03-16T00:22:10,93,1,92,43.6661,126.1923 93 | ,Mexico,2020-03-17T10:53:03,82,0,4,23.6345,-102.5528 94 | ,Armenia,2020-03-17T19:33:02,78,0,1,40.0691,45.0382 95 | Queensland,Australia,2020-03-17T12:33:07,78,0,8,-28.0167,153.4000 96 | ,Taiwan*,2020-03-17T08:13:11,77,1,22,23.7000,121.0000 97 | Xinjiang,China,2020-03-11T02:18:14,76,3,73,41.1129,85.2401 98 | Inner Mongolia,China,2020-03-16T14:38:45,75,1,73,44.0935,113.9448 99 | Ningxia,China,2020-03-16T14:38:45,75,0,75,37.2692,106.1655 100 | Alberta,Canada,2020-03-17T03:13:18,74,0,0,53.9333,-116.5765 101 | Quebec,Canada,2020-03-17T19:33:03,74,0,0,52.9399,-73.5491 102 | Tennessee,US,2020-03-17T23:13:10,74,0,0,35.7478,-86.6923 103 | ,Slovakia,2020-03-17T02:13:34,72,0,0,48.6690,19.6990 104 | Wisconsin,US,2020-03-17T20:13:22,72,0,1,44.2685,-89.6165 105 | ,Panama,2020-03-17T10:53:03,69,1,0,8.5380,-80.7821 106 | ,Argentina,2020-03-17T15:53:12,68,2,3,-38.4161,-63.6167 107 | Connecticut,US,2020-03-17T23:13:10,68,0,0,41.5978,-72.7554 108 | ,Bulgaria,2020-03-17T10:53:03,67,2,0,42.7339,25.4858 109 | Ohio,US,2020-03-17T20:53:02,67,0,0,40.3888,-82.7649 110 | Virginia,US,2020-03-17T20:13:22,67,2,0,37.7693,-78.1700 111 | Oregon,US,2020-03-17T23:13:10,66,1,0,44.5720,-122.0709 112 | ,Vietnam,2020-03-17T15:53:12,66,0,16,14.0583,108.2772 113 | ,Colombia,2020-03-17T15:53:12,65,0,1,4.5709,-74.2973 114 | ,Croatia,2020-03-17T10:53:03,65,0,4,45.1000,15.2000 115 | ,Serbia,2020-03-17T11:13:18,65,0,1,44.0165,21.0059 116 | Michigan,US,2020-03-17T20:53:02,65,0,0,43.3266,-84.5361 117 | North Carolina,US,2020-03-17T23:13:10,64,0,0,35.6301,-79.8064 118 | ,South Africa,2020-03-16T14:38:45,62,0,0,-30.5595,22.9375 119 | ,Algeria,2020-03-17T03:13:15,60,4,12,28.0339,1.6596 120 | Maryland,US,2020-03-17T16:13:14,60,0,3,39.0639,-76.8021 121 | Minnesota,US,2020-03-17T17:53:03,60,0,0,45.6945,-93.9002 122 | ,Ecuador,2020-03-17T03:13:15,58,2,0,-1.8312,-78.1834 123 | ,Brunei,2020-03-17T15:53:12,56,0,0,4.5353,114.7277 124 | Nevada,US,2020-03-17T23:33:02,56,1,0,38.3135,-117.0554 125 | ,Albania,2020-03-17T15:53:12,55,1,0,41.1533,20.1683 126 | Utah,US,2020-03-17T20:53:02,51,0,0,40.1500,-111.8624 127 | ,Hungary,2020-03-17T11:13:29,50,1,2,47.1625,19.5033 128 | ,Latvia,2020-03-17T11:13:29,49,0,1,56.8796,24.6032 129 | Faroe Islands,Denmark,2020-03-17T10:13:13,47,0,0,61.8926,-6.9118 130 | ,Turkey,2020-03-17T22:13:16,47,1,0,38.9637,35.2433 131 | Diamond Princess,US,2020-03-16T16:53:06,47,0,0,35.4437,139.6380 132 | South Carolina,US,2020-03-17T23:13:10,47,1,0,33.8569,-80.9450 133 | ,Cyprus,2020-03-17T03:13:15,46,0,0,35.1264,33.4299 134 | ,Sri Lanka,2020-03-17T15:53:12,44,0,1,7.8731,80.7718 135 | ,Costa Rica,2020-03-17T03:13:15,41,0,0,9.7489,-83.7534 136 | ,Andorra,2020-03-17T20:53:02,39,0,1,42.5063,1.5218 137 | Alabama,US,2020-03-17T23:13:10,39,0,0,32.3182,-86.9023 138 | ,Malta,2020-03-17T15:53:12,38,0,2,35.9375,14.3754 139 | ,Morocco,2020-03-17T15:53:12,38,2,1,31.7917,-7.0926 140 | ,Belarus,2020-03-16T14:38:45,36,0,3,53.7098,27.9534 141 | ,Georgia,2020-03-17T11:13:29,34,0,1,42.3154,43.3569 142 | ,Jordan,2020-03-17T11:13:29,34,0,1,30.5852,36.2384 143 | ,Cambodia,2020-03-17T15:53:13,33,0,1,12.5657,104.9910 144 | ,Kazakhstan,2020-03-17T15:53:12,33,0,0,48.0196,66.9237 145 | ,Venezuela,2020-03-17T11:33:05,33,0,0,6.4238,-66.5897 146 | Maine,US,2020-03-17T17:53:03,32,0,0,44.6939,-69.3819 147 | Western Australia,Australia,2020-03-17T12:53:09,31,1,0,-31.9505,115.8605 148 | ,Moldova,2020-03-17T15:53:12,30,0,1,47.4116,28.3699 149 | Indiana,US,2020-03-17T23:13:10,30,2,0,39.8494,-86.2583 150 | South Australia,Australia,2020-03-16T14:38:46,29,0,3,-34.9285,138.6007 151 | ,Uruguay,2020-03-17T02:13:54,29,0,0,-32.5228,-55.7658 152 | ,Azerbaijan,2020-03-17T11:53:10,28,1,6,40.1431,47.5769 153 | ,Bosnia and Herzegovina,2020-03-17T15:53:12,26,0,2,43.9159,17.6791 154 | ,North Macedonia,2020-03-17T11:53:10,26,0,1,41.6086,21.7453 155 | ,Senegal,2020-03-17T12:33:06,26,0,2,14.4974,-14.4524 156 | Kentucky,US,2020-03-17T23:33:02,26,1,1,37.6681,-84.6701 157 | New Hampshire,US,2020-03-17T23:13:10,26,0,0,43.4525,-71.5639 158 | ,Lithuania,2020-03-17T18:53:02,25,0,1,55.1694,23.8813 159 | ,Oman,2020-03-17T11:53:10,24,0,9,21.4735,55.9754 160 | ,Tunisia,2020-03-17T11:53:10,24,0,0,33.8869,9.5375 161 | Iowa,US,2020-03-16T23:53:03,23,0,0,42.0115,-93.2105 162 | New Mexico,US,2020-03-17T23:13:10,23,0,0,34.8405,-106.2485 163 | Rhode Island,US,2020-03-17T20:53:02,23,0,0,41.6809,-71.5118 164 | ,Afghanistan,2020-03-17T11:53:10,22,0,1,33.9391,67.7100 165 | Arkansas,US,2020-03-16T17:13:23,22,0,0,34.9697,-92.3731 166 | District of Columbia,US,2020-03-16T23:53:03,22,0,0,38.8974,-77.0268 167 | ,Dominican Republic,2020-03-17T08:13:22,21,1,0,18.7357,-70.1627 168 | Grand Princess,US,2020-03-17T20:53:02,21,0,0,37.6489,-122.6655 169 | Mississippi,US,2020-03-17T17:53:03,21,0,0,32.7416,-89.6787 170 | Nebraska,US,2020-03-17T17:53:03,21,0,0,41.1254,-98.2681 171 | Arizona,US,2020-03-17T23:13:10,20,0,1,33.7298,-111.4312 172 | Oklahoma,US,2020-03-17T17:53:03,19,0,0,35.5653,-96.9289 173 | Qinghai,China,2020-03-11T02:18:14,18,0,18,35.7452,95.9956 174 | ,Guadeloupe,2020-03-17T10:53:03,18,0,0,16.2650,-61.5510 175 | Kansas,US,2020-03-17T23:13:10,18,1,0,38.5266,-96.7265 176 | ,Martinique,2020-03-17T10:53:03,16,1,0,14.6415,-61.0242 177 | Delaware,US,2020-03-17T23:33:02,16,0,0,39.3185,-75.5071 178 | ,Burkina Faso,2020-03-16T14:38:45,15,0,0,12.2383,-1.5616 179 | ,Ukraine,2020-03-17T19:33:02,14,2,0,48.3794,31.1656 180 | ,Maldives,2020-03-15T18:20:18,13,0,0,3.2028,73.2207 181 | Macau,China,2020-03-17T04:32:18,12,0,10,22.1667,113.5500 182 | ,Jamaica,2020-03-17T12:13:16,12,0,2,18.1096,-77.2975 183 | ,New Zealand,2020-03-17T11:53:10,12,0,0,-40.9006,174.8860 184 | Vermont,US,2020-03-16T17:13:23,12,0,0,44.0459,-72.7107 185 | ,Bolivia,2020-03-16T14:38:45,11,0,0,-16.2902,-63.5887 186 | ,French Guiana,2020-03-16T14:38:46,11,0,0,3.9339,-53.1258 187 | Missouri,US,2020-03-17T23:33:02,11,0,0,38.4561,-92.2884 188 | South Dakota,US,2020-03-17T23:33:02,11,1,0,44.2998,-99.4388 189 | Wyoming,US,2020-03-17T23:53:03,11,0,0,42.7560,-107.3025 190 | ,Bangladesh,2020-03-17T12:13:16,10,0,3,23.6850,90.3563 191 | ,Cameroon,2020-03-17T15:53:13,10,0,0,3.8480,11.5021 192 | Hawaii,US,2020-03-17T17:33:03,10,0,0,21.0943,-157.4983 193 | ,Uzbekistan,2020-03-17T12:13:16,10,0,0,41.3775,64.5853 194 | Reunion,France,2020-03-17T11:13:29,9,0,0,-21.1351,55.2471 195 | ,Paraguay,2020-03-17T12:13:16,9,0,0,-23.4425,-58.4438 196 | ,Reunion,2020-03-17T07:15:25,9,0,0,-21.1151,55.5364 197 | Montana,US,2020-03-17T17:33:03,9,0,0,46.9219,-110.4544 198 | Grand Princess,Canada,2020-03-17T03:13:18,8,0,0,37.6489,-122.6655 199 | Manitoba,Canada,2020-03-17T19:33:03,8,0,0,53.7609,-98.8139 200 | New Brunswick,Canada,2020-03-17T19:33:03,8,0,0,46.5653,-66.4619 201 | ,Honduras,2020-03-17T12:13:16,8,0,0,15.2000,-86.2419 202 | Idaho,US,2020-03-17T23:33:02,8,0,0,44.2405,-114.4788 203 | Tasmania,Australia,2020-03-16T14:38:46,7,0,0,-41.4545,145.9707 204 | Nova Scotia,Canada,2020-03-17T19:33:03,7,0,0,44.6820,-63.7443 205 | Saskatchewan,Canada,2020-03-16T20:13:20,7,0,0,52.9399,-106.4509 206 | French Guiana,France,2020-03-17T07:33:03,7,0,0,4.0000,-53.0000 207 | ,Ghana,2020-03-17T19:33:02,7,0,0,7.9465,-1.0232 208 | ,Guyana,2020-03-17T10:53:03,7,1,0,4.8604,-58.9302 209 | ,Liechtenstein,2020-03-17T12:13:16,7,0,0,47.1660,9.5554 210 | ,Monaco,2020-03-16T14:38:45,7,0,0,43.7384,7.4246 211 | ,Rwanda,2020-03-17T02:33:10,7,0,0,-1.9403,29.8739 212 | Guadeloupe,France,2020-03-17T07:33:03,6,0,0,16.2500,-61.5833 213 | ,Guatemala,2020-03-17T12:13:16,6,1,0,15.7835,-90.2308 214 | Channel Islands,United Kingdom,2020-03-16T14:38:45,6,0,0,49.3723,-2.3644 215 | ,Cote d'Ivoire,2020-03-17T14:33:05,5,0,1,7.5400,-5.5471 216 | ,Cuba,2020-03-17T15:53:13,5,0,0,21.5218,-77.7812 217 | ,Ethiopia,2020-03-16T14:38:45,5,0,0,9.1450,40.4897 218 | ,Mongolia,2020-03-17T15:53:13,5,0,0,46.8625,103.8467 219 | ,Trinidad and Tobago,2020-03-17T15:53:13,5,0,0,10.6918,-61.2225 220 | Puerto Rico,US,2020-03-16T00:22:11,5,0,0,18.2208,-66.5901 221 | ,Seychelles,2020-03-17T12:33:06,4,0,0,-4.6796,55.4920 222 | ,Aruba,2020-03-17T12:33:07,3,0,0,12.5211,-69.9683 223 | Newfoundland and Labrador,Canada,2020-03-17T17:53:03,3,0,0,53.1355,-57.6604 224 | ,Congo (Kinshasa),2020-03-17T12:33:06,3,0,0,-4.0383,21.7587 225 | French Polynesia,France,2020-03-15T18:20:19,3,0,0,-17.6797,-149.4068 226 | Saint Barthelemy,France,2020-03-16T14:38:45,3,0,0,17.9000,-62.8333 227 | ,Guam,2020-03-16T02:13:16,3,0,0,13.4443,144.7937 228 | ,Kenya,2020-03-16T00:22:11,3,0,0,-0.0236,37.9062 229 | Curacao,Netherlands,2020-03-17T12:33:07,3,0,0,12.1696,-68.9900 230 | ,Nigeria,2020-03-17T12:33:06,3,0,0,9.0820,8.6753 231 | Alaska,US,2020-03-17T17:33:03,3,0,0,61.3707,-152.4044 232 | Guam,US,2020-03-15T18:20:19,3,0,0,13.4443,144.7937 233 | North Dakota,US,2020-03-17T23:33:02,3,0,0,47.5289,-99.7840 234 | Gibraltar,United Kingdom,2020-03-17T02:53:03,3,0,1,36.1408,-5.3536 235 | Australian Capital Territory,Australia,2020-03-16T14:38:46,2,0,0,-35.4735,149.0124 236 | ,Barbados,2020-03-17T16:13:14,2,0,0,13.1939,-59.5432 237 | St Martin,France,2020-03-14T16:33:03,2,0,0,18.0708,-63.0501 238 | ,Kosovo,2020-03-15T18:20:19,2,0,0,42.6026,20.9030 239 | ,Montenegro,2020-03-17T21:33:02,2,0,0,42.5000,19.3000 240 | ,Namibia,2020-03-14T16:33:03,2,0,0,-22.9576,18.4904 241 | ,Saint Lucia,2020-03-17T04:32:19,2,0,0,13.9094,-60.9789 242 | Virgin Islands,US,2020-03-17T20:53:02,2,0,0,18.3358,-64.8963 243 | ,Antigua and Barbuda,2020-03-15T18:20:19,1,0,0,17.0608,-61.7964 244 | Northern Territory,Australia,2020-03-14T01:53:03,1,0,0,-12.4634,130.8456 245 | ,Benin,2020-03-16T14:38:46,1,0,0,9.3077,2.3158 246 | ,Bhutan,2020-03-13T22:22:02,1,0,0,27.5142,90.4336 247 | Prince Edward Island,Canada,2020-03-15T02:13:21,1,0,0,46.5107,-63.4168 248 | ,Central African Republic,2020-03-16T03:33:03,1,0,0,6.6111,20.9394 249 | Tibet,China,2020-03-11T02:18:14,1,0,1,31.6927,88.0924 250 | ,Congo (Brazzaville),2020-03-16T14:38:45,1,0,0,-0.2280,15.8277 251 | ,Equatorial Guinea,2020-03-15T06:41:54,1,0,0,1.5000,10.0000 252 | ,Eswatini,2020-03-15T06:41:54,1,0,0,-26.5225,31.4659 253 | Mayotte,France,2020-03-16T14:38:45,1,0,0,-12.8431,45.1383 254 | ,Gabon,2020-03-14T13:33:04,1,0,0,-0.8037,11.6094 255 | ,Greenland,2020-03-16T16:53:06,1,0,0,71.7069,-42.6043 256 | ,Guinea,2020-03-15T06:41:54,1,0,0,9.9456,-9.6966 257 | ,Holy See,2020-03-13T22:22:02,1,0,0,41.9029,12.4534 258 | ,Liberia,2020-03-17T12:13:16,1,0,0,6.4281,-9.4295 259 | ,Mauritania,2020-03-15T18:20:19,1,0,0,21.0079,-10.9408 260 | ,Mayotte,2020-03-16T14:38:45,1,0,0,-12.8275,45.1662 261 | ,Nepal,2020-03-13T22:22:03,1,0,1,28.3949,84.1240 262 | ,Saint Vincent and the Grenadines,2020-03-14T16:33:03,1,0,0,12.9843,-61.2872 263 | ,Somalia,2020-03-16T14:38:46,1,0,0,5.1521,46.1996 264 | ,Sudan,2020-03-14T01:13:32,1,1,0,12.8628,30.2176 265 | ,Suriname,2020-03-14T16:33:03,1,0,0,3.9193,-56.0278 266 | ,Tanzania,2020-03-17T01:33:03,1,0,0,-6.3690,34.8888 267 | ,The Bahamas,2020-03-16T03:33:03,1,0,0,24.2500,-76.0000 268 | ,The Gambia,2020-03-17T23:33:02,1,0,0,13.4667,-16.6000 269 | ,Togo,2020-03-13T22:22:02,1,0,0,8.6195,0.8248 270 | West Virginia,US,2020-03-17T23:33:02,1,0,0,38.4912,-80.9545 271 | Cayman Islands,United Kingdom,2020-03-16T14:53:04,1,1,0,19.3133,-81.2546 272 | From Diamond Princess,Australia,2020-03-14T02:33:04,0,0,0,35.4437,139.6380 273 | ,Guernsey,2020-03-17T18:33:03,0,0,0,49.4500,-2.5800 274 | ,Jersey,2020-03-17T18:33:03,0,0,0,49.1900,-2.1100 275 | ,Puerto Rico,2020-03-17T16:13:14,0,0,0,18.2000,-66.5000 276 | ,Republic of the Congo,2020-03-17T21:33:03,0,0,0,-1.4400,15.5560 277 | ,occupied Palestinian territory,2020-03-11T20:53:02,0,0,0,31.9522,35.2332 278 | --------------------------------------------------------------------------------