├── data ├── demography.csv ├── effective_reproduction_number.csv ├── severe_daily.csv ├── death_total.csv ├── pcr_positive_daily.csv ├── cases_total.csv ├── pcr_tested_daily.csv ├── recovery_total.csv └── pcr_case_daily.csv ├── img ├── image-series-01.jpg ├── image-series-02.jpg ├── image_1200_630.png ├── logo-tko-white.png ├── icon-arrow-down.svg ├── social-icon-twitter.svg └── social-icon-facebook.svg ├── LICENSE ├── README.md ├── README.en.md ├── css ├── style.css.map ├── style.min.css ├── style.scss └── style.css ├── js ├── script.min.js └── script.js └── index.html /data/demography.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kaz-ogiwara/covid19/HEAD/data/demography.csv -------------------------------------------------------------------------------- /img/image-series-01.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kaz-ogiwara/covid19/HEAD/img/image-series-01.jpg -------------------------------------------------------------------------------- /img/image-series-02.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kaz-ogiwara/covid19/HEAD/img/image-series-02.jpg -------------------------------------------------------------------------------- /img/image_1200_630.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kaz-ogiwara/covid19/HEAD/img/image_1200_630.png -------------------------------------------------------------------------------- /img/logo-tko-white.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kaz-ogiwara/covid19/HEAD/img/logo-tko-white.png -------------------------------------------------------------------------------- /img/icon-arrow-down.svg: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /img/social-icon-twitter.svg: -------------------------------------------------------------------------------- 1 | Twitter_Logo_White-on-Blue -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2020 Kazuki OGIWARA / 荻原 和樹 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 | -------------------------------------------------------------------------------- /img/social-icon-facebook.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | 8 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # 新型コロナウイルス 国内感染の状況 2 | 新型コロナウイルス感染症（COVID-19）の国内における状況を厚生労働省の報道発表資料からビジュアルにまとめた。 3 | 4 | [ENGLISH](https://github.com/kaz-ogiwara/covid19/blob/master/README.en.md) 5 | 6 | ## 重要なお知らせ（2021.01.21） 7 | - サイト担当者の変更に伴い、このリポジトリは1月31日をもちまして更新を停止いたします。 8 | - なお本サイト自体は従来と同様に更新を続ける予定であり、データファイルにつきましても更新継続の方法を検討中です。 9 | - ご質問・ご意見は東洋経済新報社の[お問い合わせフォーム](https://s.toyokeizai.net/apply.html?id=CONTACTUS)よりお送りください。 10 | 11 | ### 公開ページ 12 | - 東洋経済オンライン「新型コロナウイルス 国内感染の状況」 13 | - https://toyokeizai.net/sp/visual/tko/covid19/ 14 | 15 | ### データソース 16 | - 厚生労働省の報道発表資料 17 | - https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000121431_00086.html 18 | 19 | ### CSVデータ 20 | - 使用したデータはCSVファイルでも公開しています。 21 | 22 | #### pcr_positive_daily.csv 23 | - 厚生労働省オープンデータ「陽性者数」 24 | - データは過去分を含めて上書きされるため、こちらにも記録としてアップロードする。 25 | - 詳しい注記などは厚生労働省のオープンデータページを参照：https://www.mhlw.go.jp/stf/covid-19/open-data.html 26 | 27 | #### pcr_tested_daily.csv 28 | - 厚生労働省オープンデータ「PCR検査実施人数」 29 | 30 | #### cases_total.csv 31 | - 厚生労働省オープンデータ「入院治療等を要する者の数」 32 | 33 | #### recovery_total.csv 34 | - 厚生労働省オープンデータ「退院又は療養解除となった者の数」 35 | 36 | #### death_total.csv 37 | - 厚生労働省オープンデータ「死亡者数」 38 | 39 | #### pcr_case_daily.csv 40 | - 厚生労働省オープンデータ「PCR検査の実施件数」 41 | 42 | #### serious.csv 43 | - 公表日ごとに全国の重症者数を掲載。 44 | - 厚生労働省のオープンデータには重症者数が載っていないので、summary.csvに代わってこのファイルを更新している。 45 | - データソース：「新型コロナウイルス感染症の現在の状況について」 46 | - 開示例：https://www.mhlw.go.jp/stf/newpage_10700.html 47 | 48 | #### effective_reproduction_number.csv 49 | - 日別に全国の実効再生産数を掲載。 50 | - 計算式は「（直近7日間の新規陽性者数／その前7日間の新規陽性者数）^（平均世代時間／報告間隔）」。 51 | - 平均世代時間は5日、報告間隔は7日と仮定。 52 | - リアルタイム性を重視して流行動態を把握するため、報告日ベースによる簡易的な計算式を用いている。 53 | - 精密な計算ではないこと、報告の遅れに影響を受けることに注意。 54 | - モデルと監修は北海道大学大学院医学研究院・西浦博教授。計算式の詳細は西浦教授の公開するGitHubリポジトリを参照。 55 | - https://github.com/contactmodel/COVID19-Japan-Reff 56 | 57 | #### demography.csv 58 | - データソース：「新型コロナウイルス感染症の国内発生動向」 59 | - 開示例：https://www.mhlw.go.jp/content/10906000/000696696.pdf 60 | - 年齢別の陽性者数、入院治療等を要する者の数、重症者数、死亡者数を掲載。 61 | - 年齢「不明」「非公表」「調査中」などはすべて「不明」としている。 62 | 63 | #### prefectures.csv 64 | - データソース：「国内事例における都道府県別の患者報告数」 65 | - 開示例：https://www.mhlw.go.jp/content/10906000/000619075.pdf 66 | - 都道府県ごとの検査陽性者数、死亡者数、PCR検査人数、実効再生産数などを掲載。 67 | - 項目一覧は以下のとおり。 68 | - testedPositive: 検査陽性者数 69 | - peopleTested: 検査実施人数 70 | - hospitalized: 入院治療等を要する者 71 | - serious: 重症者数 72 | - discharged: 退院・療養解除 73 | - deaths: 死亡者数 74 | - effectiveReproductionNumber: 実効再生産数 75 | 76 | ### データの更新 77 | - 厚生労働省の発表にあわせて不定期で更新する予定です。 78 | 79 | ### ライセンス 80 | - MITライセンスとします。研究、調査、報道など、商用・非商用を問わずご自由にお使いください。 81 | - このプロジェクトによって生じたいかなる責任も開発者は負わないものとします。 82 | - 著作権表示は以下のいずれかをお使いください。 83 | - 『東洋経済オンライン「新型コロナウイルス 国内感染の状況」制作：荻原和樹』 84 | - 『Toyo Keizai Online "Coronavirus Disease (COVID-19) Situation Report in Japan" by Kazuki OGIWARA』 85 | -------------------------------------------------------------------------------- /README.en.md: -------------------------------------------------------------------------------- 1 | # Coronavirus Disease (COVID-19) Situation Report in Japan 2 | The state of the infection of the new coronavirus (COVID-19) in Japan was summarized visually from a press release from the Ministry of Health, Labor and Welfare (MHLW). 3 | 4 | [JAPANESE](https://github.com/kaz-ogiwara/covid19/blob/master/README.md) 5 | 6 | ## Important Notice (January 21) 7 | - Due to a change in the person in charge of the site, this repository will no longer be updated after January 31. 8 | - The website itself will continue to be updated as before, and we are considering how to continue updating the data files. 9 | - If you have any inquiries or requests, please fill out [our inquiry form](https://s.toyokeizai.net/apply.html?id=CONTACTUS) \[Japanese\]. 10 | 11 | ### Public page 12 | - Toyo Keizai Online "Coronavirus Disease (COVID-19) Situation Report in Japan" 13 | - https://toyokeizai.net/sp/visual/tko/covid19/en.html 14 | 15 | ### Data source 16 | - Press releases by the MHLW 17 | - https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/0000121431_00086.html 18 | - The part of prefectural data, such as the number of Tested Positive in Tokyo, is retrieved from reports by each prefecture. 19 | 20 | ### CSV data 21 | - The data used is also available as a CSV file. 22 | 23 | #### pcr_positive_daily.csv 24 | - The copy of the same file from MHLW open data. 25 | - Since the open data is saved as an overwrite, to keep the past data. 26 | - For more details, refer to: https://www.mhlw.go.jp/stf/covid-19/open-data.html 27 | 28 | #### pcr_tested_daily.csv 29 | - The copy of the same file from MHLW open data. 30 | 31 | #### cases_total.csv 32 | - The copy of the same file from MHLW open data. 33 | 34 | #### recovery_total.csv 35 | - The copy of the same file from MHLW open data. 36 | 37 | #### death_total.csv 38 | - The copy of the same file from MHLW open data. 39 | 40 | #### pcr_case_daily.csv 41 | - The copy of the same file from MHLW open data. 42 | 43 | #### serious.csv 44 | - This file contains the daily number of serious (critically ill) cases. 45 | - Since MHLW open data does not have the file of serious cases, we update this file from MHLW press releases. 46 | 47 | #### effective_reproduction_number.csv 48 | - This file contains the daily Effective Reproduction Number. 49 | - Formula: (New cases in past 7 days / New cases in 7 days before that) ^ (mean generation time / length of reporting interval). 50 | - Mean generation time is supposed to be 5 days, and length of reporting interval is supposed to be 7 days. 51 | - For the purpose of understanding current trends in real time, this formula is simplified and based on reporting dates. 52 | - Note that this formula is a simplified version and may be affected by reporting delays. 53 | - Model and supervised by Professor Hiroshi Nishiura of Hokkaido University Graduate School of Medicine. 54 | - Refer to GitHub repository published by Prof. Nishiura for further details. 55 | - https://github.com/contactmodel/COVID19-Japan-Reff 56 | 57 | #### demography.csv 58 | - Data source example [Japanese]: https://www.mhlw.go.jp/content/10906000/000696696.pdf 59 | - Number of tested positive, hospitalized, critically ill, and deaths, by age group. 60 | - "Unknown", "Undisclosed", and "Checking" are all summarized as "Unknown". 61 | 62 | #### prefectures.csv 63 | - File: https://github.com/kaz-ogiwara/covid19/blob/master/data/prefectures.csv 64 | - Data source example [Japanese]: https://www.mhlw.go.jp/content/10906000/000619075.pdf 65 | - Items such as the number of tested positive or people PCR tested, by publication date and prefecture. 66 | - Here are the items: 67 | - testedPositive: Tested Positive 68 | - peopleTested: People Tested 69 | - hospitalized: Hospitalized 70 | - serious: Critically Ill 71 | - discharged: Discharged 72 | - deaths: Deaths 73 | - effectiveReproductionNumber: Effective Reproduction Number 74 | 75 | ### Update data 76 | - It will be updated on an irregular basis according to the announcement by the Ministry of Health, Labor and Welfare. 77 | 78 | ### License 79 | - MIT license. Feel free to use it for research, news, and other commercial and non-commercial purposes. 80 | - The developer assumes no responsibility arising from this project. 81 | - Copyright notice should be like: 82 | - 東洋経済オンライン「新型コロナウイルス 国内感染の状況」制作：荻原和樹 83 | - Toyo Keizai Online "Coronavirus Disease (COVID-19) Situation Report in Japan" by Kazuki OGIWARA 84 | -------------------------------------------------------------------------------- /data/effective_reproduction_number.csv: -------------------------------------------------------------------------------- 1 | 日付,実効再生産数 2 | 2020/3/1,1.22 3 | 2020/3/2,1.19 4 | 2020/3/3,1.24 5 | 2020/3/4,1.2 6 | 2020/3/5,1.13 7 | 2020/3/6,1.28 8 | 2020/3/7,1.65 9 | 2020/3/8,1.71 10 | 2020/3/9,1.75 11 | 2020/3/10,1.85 12 | 2020/3/11,1.82 13 | 2020/3/12,1.85 14 | 2020/3/13,1.48 15 | 2020/3/14,1.33 16 | 2020/3/15,1.26 17 | 2020/3/16,1.19 18 | 2020/3/17,1.05 19 | 2020/3/18,0.97 20 | 2020/3/19,0.87 21 | 2020/3/20,0.94 22 | 2020/3/21,0.84 23 | 2020/3/22,0.87 24 | 2020/3/23,0.94 25 | 2020/3/24,1.01 26 | 2020/3/25,1.18 27 | 2020/3/26,1.38 28 | 2020/3/27,1.44 29 | 2020/3/28,1.92 30 | 2020/3/29,2.16 31 | 2020/3/30,2.11 32 | 2020/3/31,2.26 33 | 2020/4/1,2.21 34 | 2020/4/2,2.18 35 | 2020/4/3,2.27 36 | 2020/4/4,1.99 37 | 2020/4/5,1.87 38 | 2020/4/6,1.94 39 | 2020/4/7,1.81 40 | 2020/4/8,1.83 41 | 2020/4/9,1.8 42 | 2020/4/10,1.74 43 | 2020/4/11,1.72 44 | 2020/4/12,1.64 45 | 2020/4/13,1.55 46 | 2020/4/14,1.5 47 | 2020/4/15,1.35 48 | 2020/4/16,1.25 49 | 2020/4/17,1.12 50 | 2020/4/18,1.03 51 | 2020/4/19,0.95 52 | 2020/4/20,0.95 53 | 2020/4/21,0.9 54 | 2020/4/22,0.89 55 | 2020/4/23,0.86 56 | 2020/4/24,0.86 57 | 2020/4/25,0.83 58 | 2020/4/26,0.83 59 | 2020/4/27,0.78 60 | 2020/4/28,0.79 61 | 2020/4/29,0.74 62 | 2020/4/30,0.71 63 | 2020/5/1,0.68 64 | 2020/5/2,0.69 65 | 2020/5/3,0.71 66 | 2020/5/4,0.75 67 | 2020/5/5,0.71 68 | 2020/5/6,0.72 69 | 2020/5/7,0.74 70 | 2020/5/8,0.71 71 | 2020/5/9,0.64 72 | 2020/5/10,0.57 73 | 2020/5/11,0.5 74 | 2020/5/12,0.52 75 | 2020/5/13,0.52 76 | 2020/5/14,0.55 77 | 2020/5/15,0.58 78 | 2020/5/16,0.62 79 | 2020/5/17,0.66 80 | 2020/5/18,0.72 81 | 2020/5/19,0.69 82 | 2020/5/20,0.71 83 | 2020/5/21,0.62 84 | 2020/5/22,0.62 85 | 2020/5/23,0.61 86 | 2020/5/24,0.67 87 | 2020/5/25,0.67 88 | 2020/5/26,0.73 89 | 2020/5/27,0.75 90 | 2020/5/28,0.91 91 | 2020/5/29,1.05 92 | 2020/5/30,1.19 93 | 2020/5/31,1.13 94 | 2020/6/1,1.21 95 | 2020/6/2,1.29 96 | 2020/6/3,1.27 97 | 2020/6/4,1.16 98 | 2020/6/5,1 99 | 2020/6/6,0.95 100 | 2020/6/7,0.97 101 | 2020/6/8,0.9 102 | 2020/6/9,0.8 103 | 2020/6/10,0.85 104 | 2020/6/11,0.87 105 | 2020/6/12,0.96 106 | 2020/6/13,0.96 107 | 2020/6/14,1.04 108 | 2020/6/15,1.17 109 | 2020/6/16,1.28 110 | 2020/6/17,1.26 111 | 2020/6/18,1.35 112 | 2020/6/19,1.28 113 | 2020/6/20,1.35 114 | 2020/6/21,1.22 115 | 2020/6/22,1.07 116 | 2020/6/23,1.07 117 | 2020/6/24,1.14 118 | 2020/6/25,1.1 119 | 2020/6/26,1.19 120 | 2020/6/27,1.18 121 | 2020/6/28,1.31 122 | 2020/6/29,1.49 123 | 2020/6/30,1.58 124 | 2020/7/1,1.51 125 | 2020/7/2,1.64 126 | 2020/7/3,1.72 127 | 2020/7/4,1.86 128 | 2020/7/5,1.8 129 | 2020/7/6,1.71 130 | 2020/7/7,1.64 131 | 2020/7/8,1.64 132 | 2020/7/9,1.59 133 | 2020/7/10,1.52 134 | 2020/7/11,1.41 135 | 2020/7/12,1.44 136 | 2020/7/13,1.43 137 | 2020/7/14,1.42 138 | 2020/7/15,1.47 139 | 2020/7/16,1.47 140 | 2020/7/17,1.43 141 | 2020/7/18,1.46 142 | 2020/7/19,1.4 143 | 2020/7/20,1.41 144 | 2020/7/21,1.43 145 | 2020/7/22,1.42 146 | 2020/7/23,1.4 147 | 2020/7/24,1.38 148 | 2020/7/25,1.33 149 | 2020/7/26,1.36 150 | 2020/7/27,1.34 151 | 2020/7/28,1.33 152 | 2020/7/29,1.32 153 | 2020/7/30,1.29 154 | 2020/7/31,1.37 155 | 2020/8/1,1.43 156 | 2020/8/2,1.43 157 | 2020/8/3,1.44 158 | 2020/8/4,1.4 159 | 2020/8/5,1.34 160 | 2020/8/6,1.31 161 | 2020/8/7,1.2 162 | 2020/8/8,1.12 163 | 2020/8/9,1.09 164 | 2020/8/10,1.05 165 | 2020/8/11,0.99 166 | 2020/8/12,0.95 167 | 2020/8/13,0.91 168 | 2020/8/14,0.89 169 | 2020/8/15,0.87 170 | 2020/8/16,0.82 171 | 2020/8/17,0.81 172 | 2020/8/18,0.86 173 | 2020/8/19,0.9 174 | 2020/8/20,0.92 175 | 2020/8/21,0.91 176 | 2020/8/22,0.91 177 | 2020/8/23,0.93 178 | 2020/8/24,0.93 179 | 2020/8/25,0.89 180 | 2020/8/26,0.87 181 | 2020/8/27,0.83 182 | 2020/8/28,0.84 183 | 2020/8/29,0.85 184 | 2020/8/30,0.86 185 | 2020/8/31,0.86 186 | 2020/9/1,0.87 187 | 2020/9/2,0.85 188 | 2020/9/3,0.86 189 | 2020/9/4,0.84 190 | 2020/9/5,0.82 191 | 2020/9/6,0.81 192 | 2020/9/7,0.8 193 | 2020/9/8,0.79 194 | 2020/9/9,0.81 195 | 2020/9/10,0.85 196 | 2020/9/11,0.9 197 | 2020/9/12,0.94 198 | 2020/9/13,0.97 199 | 2020/9/14,0.99 200 | 2020/9/15,1.01 201 | 2020/9/16,1.03 202 | 2020/9/17,0.98 203 | 2020/9/18,0.95 204 | 2020/9/19,0.94 205 | 2020/9/20,0.95 206 | 2020/9/21,0.96 207 | 2020/9/22,0.91 208 | 2020/9/23,0.84 209 | 2020/9/24,0.88 210 | 2020/9/25,0.89 211 | 2020/9/26,0.91 212 | 2020/9/27,0.91 213 | 2020/9/28,0.9 214 | 2020/9/29,0.98 215 | 2020/9/30,1.14 216 | 2020/10/1,1.17 217 | 2020/10/2,1.17 218 | 2020/10/3,1.14 219 | 2020/10/4,1.12 220 | 2020/10/5,1.12 221 | 2020/10/6,1.06 222 | 2020/10/7,0.97 223 | 2020/10/8,0.94 224 | 2020/10/9,0.96 225 | 2020/10/10,0.99 226 | 2020/10/11,1.02 227 | 2020/10/12,1.02 228 | 2020/10/13,1.03 229 | 2020/10/14,1.05 230 | 2020/10/15,1.07 231 | 2020/10/16,1.06 232 | 2020/10/17,1.02 233 | 2020/10/18,1.02 234 | 2020/10/19,1.03 235 | 2020/10/20,1.02 236 | 2020/10/21,1.03 237 | 2020/10/22,1 238 | 2020/10/23,1.01 239 | 2020/10/24,1.05 240 | 2020/10/25,1.05 241 | 2020/10/26,1.06 242 | 2020/10/27,1.1 243 | 2020/10/28,1.1 244 | 2020/10/29,1.16 245 | 2020/10/30,1.14 246 | 2020/10/31,1.14 247 | 2020/11/1,1.15 248 | 2020/11/2,1.15 249 | 2020/11/3,1.15 250 | 2020/11/4,1.11 251 | 2020/11/5,1.11 252 | 2020/11/6,1.16 253 | 2020/11/7,1.2 254 | 2020/11/8,1.22 255 | 2020/11/9,1.25 256 | 2020/11/10,1.26 257 | 2020/11/11,1.4 258 | 2020/11/12,1.42 259 | 2020/11/13,1.42 260 | 2020/11/14,1.39 261 | 2020/11/15,1.38 262 | 2020/11/16,1.36 263 | 2020/11/17,1.34 264 | 2020/11/18,1.28 265 | 2020/11/19,1.27 266 | 2020/11/20,1.27 267 | 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| 460 | select { 461 | margin: 8px auto 16px auto; 462 | } 463 | } 464 | } 465 | 466 | #footer-block { 467 | width: calc(100% - 32px); 468 | max-width: 640px; 469 | margin: 32px auto; 470 | 471 | p,small { 472 | margin-top: 8px; 473 | text-align: center; 474 | color: #aaa; 475 | font-size: 13px; 476 | line-height: 24px; 477 | 478 | &.notes { 479 | text-align: left; 480 | 481 | a { 482 | color: #ace; 483 | font-size: 13px; 484 | text-decoration: none; 485 | } 486 | } 487 | } 488 | 489 | #social-buttons { 490 | display: table; 491 | border-collapse: separate; 492 | border-spacing: 32px 0; 493 | margin: 32px auto 32px auto; 494 | 495 | a { 496 | display: table-cell; 497 | width: 48px; 498 | height: 48px; 499 | border: 1px solid rgba(255,255,255,0.9); 500 | border-radius: 50%; 501 | background-size: contain; 502 | background-position: center center; 503 | background-repeat: no-repeat; 504 | box-shadow: 0 0px 4px rgba(0,0,0,0.6); 505 | z-index: 10; 506 | 507 | &.facebook 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.links { 562 | .link { 563 | display: inline-block; 564 | width: calc(50% - 3px); 565 | 566 | a { 567 | display: block; 568 | margin: 0 auto; 569 | width: calc(100% - 16px); 570 | 571 | img { 572 | display: block; 573 | width: 100%; 574 | border-radius: 4px; 575 | } 576 | } 577 | 578 | h4 { 579 | text-align: center; 580 | color: #666; 581 | font-size: 13px; 582 | } 583 | } 584 | } 585 | } 586 | } 587 | } 588 | -------------------------------------------------------------------------------- /css/style.css: -------------------------------------------------------------------------------- 1 | @charset "UTF-8"; 2 | * { 3 | margin: 0; 4 | padding: 0; 5 | outline: none; 6 | box-sizing: border-box; 7 | font-family: 'Roboto', -apple-system, BlinkMacSystemFont, '游ゴシック体', YuGothic, 'Yu Gothic Medium', 'Noto Sans JP', sans-serif; 8 | font-weight: normal; 9 | font-size: 16px; 10 | color: #fafafa; 11 | letter-spacing: 0.03em; } 12 | 13 | body { 14 | width: 100%; 15 | background-color: #061a2b; 16 | 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.flex-container .flex-row.t02 { 149 | width: calc((100% / 3) * 2); } } 150 | @media only screen and (min-width: 720px) { 151 | #container #main-block .flex-container .flex-row.t03 { 152 | width: 100%; } } 153 | @media only screen and (min-width: 1080px) { 154 | #container #main-block .flex-container .flex-row.t03 { 155 | width: calc(100% / 2); } } 156 | #container #main-block .box { 157 | position: relative; 158 | margin: 16px 8px 0 8px; 159 | width: calc(100% - 16px); 160 | padding: 8px 16px; 161 | background-color: #242a3c; 162 | border: none; 163 | border-radius: 4px; } 164 | #container #main-block .box h3 { 165 | margin-left: -2px; 166 | margin-right: 120px; 167 | padding-left: 6px; 168 | font-size: 16px; 169 | font-weight: bold; 170 | border: none; 171 | border-left: 4px solid #ec2; } 172 | #container #main-block .box h3 span { 173 | font-size: 16px; 174 | font-weight: bold; } 175 | @media only screen and (min-width: 400px) { 176 | #container #main-block .box h3 { 177 | padding-left: 6px; 178 | font-size: 18px; } 179 | #container #main-block .box h3 span { 180 | font-size: 18px; } } 181 | @media only screen and (min-width: 640px) { 182 | #container #main-block .box h3 { 183 | padding-left: 8px; 184 | font-size: 20px; } 185 | #container #main-block .box h3 span { 186 | font-size: 20px; } } 187 | #container #main-block .box h5 { 188 | color: rgba(255, 255, 255, 0.5); 189 | font-size: 13px; 190 | margin: 4px 0 8px 10px; } 191 | @media only screen and (min-width: 400px) { 192 | #container #main-block .box h5 { 193 | margin-left: 10px; } } 194 | @media only screen and (min-width: 640px) { 195 | #container #main-block .box h5 { 196 | margin-left: 12px; } } 197 | #container #main-block .box .latest { 198 | position: absolute; 199 | top: 10px; 200 | right: 16px; } 201 | #container #main-block .box .latest > div { 202 | text-align: right; } 203 | #container #main-block .box .latest .value { 204 | font-size: 20px; } 205 | @media only screen and (min-width: 400px) { 206 | #container #main-block .box .latest .value { 207 | font-size: 22px; } } 208 | @media only screen and (min-width: 640px) { 209 | #container #main-block .box .latest .value { 210 | font-size: 24px; } } 211 | #container #main-block .box .latest .type, #container #main-block .box .latest .unit, #container #main-block .box .latest .change { 212 | font-size: 13px; 213 | color: #ccc; } 214 | #container #main-block .box .switches { 215 | margin: 16px auto; 216 | padding: 2px; 217 | display: table; 218 | background-color: #474f62; 219 | border: none; 220 | border-radius: 50px; } 221 | #container #main-block .box .switches .switch { 222 | display: inline-block; 223 | display: table-cell; 224 | font-size: 14px; 225 | color: #aaa; 226 | background-color: transparent; 227 | padding: 4px 16px; 228 | text-align: center; 229 | border-radius: 50px; } 230 | #container #main-block .box .switches .switch:hover { 231 | cursor: pointer; 232 | background-color: #1b354f; } 233 | #container #main-block .box .switches .switch.selected { 234 | color: #fafafa; } 235 | #container #main-block .box .switches .switch:nth-child(1).selected { 236 | background-color: #d72; } 237 | #container #main-block .box .switches .switch:nth-child(2).selected { 238 | background-color: #d72; } 239 | #container #main-block .box .charts-wrapper { 240 | position: relative; } 241 | #container #main-block .box .charts-wrapper .main-chart-wrapper { 242 | position: relative; 243 | overflow-x: scroll; 244 | -webkit-overflow-scrolling: touch; 245 | z-index: 1; } 246 | #container #main-block .box .charts-wrapper .main-chart-wrapper .main-chart { 247 | width: 100%; 248 | height: 240px; } 249 | #container #main-block .box .charts-wrapper .axis-chart { 250 | position: absolute; 251 | left: 0; 252 | top: 0; 253 | width: 100%; 254 | height: 100%; 255 | pointer-events: none; 256 | z-index: 3; } 257 | #container #main-block .box .charts-wrapper .axis-cover { 258 | position: absolute; 259 | left: 0; 260 | top: 0; 261 | width: 40px; 262 | height: 100%; 263 | z-index: 2; 264 | background: #242a3c; 265 | background: linear-gradient(90deg, #242a3c 0%, #242a3c 70%, rgba(36, 42, 60, 0) 100%); } 266 | #container #main-block .box .checkboxes .checkbox { 267 | text-indent: 42px; 268 | cursor: pointer; 269 | color: rgba(255, 255, 255, 0.4); 270 | display: table; 271 | margin: 16px auto; 272 | font-size: 14px; 273 | line-height: 25px; 274 | transition: all ease 200ms; } 275 | #container #main-block .box .checkboxes .checkbox > div { 276 | display: table-cell; 277 | width: 32px; 278 | height: 20px; 279 | border-radius: 10px; 280 | position: absolute; 281 | margin-top: 2px; 282 | background-color: rgba(255, 255, 255, 0.3); 283 | transition: all ease 200ms; } 284 | #container #main-block .box .checkboxes .checkbox > div > div { 285 | margin: 2px; 286 | width: 16px; 287 | height: 16px; 288 | border-radius: 8px; 289 | background-color: #fefefe; 290 | transition: all ease 200ms; } 291 | #container #main-block .box .checkboxes .checkbox.on { 292 | color: #fafafa; } 293 | #container #main-block .box .checkboxes .checkbox.on > div { 294 | background-color: #392; } 295 | #container #main-block .box .checkboxes .checkbox.on > div > div { 296 | margin-left: 14px; } 297 | #container #main-block .box p.notes { 298 | position: relative; 299 | font-size: 13px; 300 | line-height: 24px; 301 | margin-top: 16px; 302 | color: rgba(255, 255, 255, 0.7); 303 | white-space: nowrap; 304 | text-overflow: ellipsis; 305 | overflow: hidden; 306 | padding-right: 76px; } 307 | #container #main-block .box p.notes a { 308 | font-size: 13px; 309 | color: #ace; 310 | text-decoration: none; } 311 | #container #main-block .box p.notes a.more { 312 | display: block; 313 | position: absolute; 314 | top: 0; 315 | right: 0; } 316 | #container #main-block .box p.notes a.more:hover { 317 | cursor: pointer; } 318 | #container #main-block .box p.notes.show { 319 | white-space: inherit; 320 | padding-right: 0; } 321 | #container #main-block .box p.notes.show a.more { 322 | display: none; } 323 | #container #main-block #region-box { 324 | position: inherit; } 325 | #container #main-block #region-box select { 326 | margin: 8px auto 16px auto; } 327 | #container #footer-block { 328 | width: calc(100% - 32px); 329 | max-width: 640px; 330 | margin: 32px auto; } 331 | #container #footer-block p, #container #footer-block small { 332 | margin-top: 8px; 333 | text-align: center; 334 | color: #aaa; 335 | font-size: 13px; 336 | line-height: 24px; } 337 | #container #footer-block p.notes, #container #footer-block small.notes { 338 | text-align: left; } 339 | #container #footer-block p.notes a, #container #footer-block small.notes a { 340 | color: #ace; 341 | font-size: 13px; 342 | text-decoration: none; } 343 | #container #footer-block #social-buttons { 344 | display: table; 345 | border-collapse: separate; 346 | border-spacing: 32px 0; 347 | margin: 32px auto 32px auto; } 348 | #container #footer-block #social-buttons a { 349 | display: table-cell; 350 | width: 48px; 351 | height: 48px; 352 | border: 1px solid rgba(255, 255, 255, 0.9); 353 | border-radius: 50%; 354 | background-size: contain; 355 | background-position: center center; 356 | background-repeat: no-repeat; 357 | box-shadow: 0 0px 4px rgba(0, 0, 0, 0.6); 358 | z-index: 10; } 359 | #container #footer-block #social-buttons a.facebook { 360 | background-image: url(../img/social-icon-facebook.svg); } 361 | #container #footer-block #social-buttons a.twitter { 362 | background-image: url(../img/social-icon-twitter.svg); } 363 | #container #footer-block #social-buttons .margin { 364 | display: table-cell; 365 | width: 24px; } 366 | #container #footer-block #faqs { 367 | margin-top: 64px; } 368 | #container #footer-block #faqs h3 { 369 | font-size: 20px; 370 | padding-bottom: 4px; 371 | border-bottom: 1px solid rgba(255, 255, 255, 0.2); } 372 | #container #footer-block #faqs section { 373 | margin-top: 32px; } 374 | #container #footer-block #faqs section p { 375 | text-align: left; 376 | font-size: 15px; 377 | color: #ccc; 378 | line-height: 28px; } 379 | #container #footer-block #faqs section p a { 380 | color: #ace; 381 | text-decoration: none; 382 | font-size: 15px; } 383 | #container #footer-block #related-links { 384 | margin: 64px auto; 385 | width: 100%; 386 | max-width: 400px; } 387 | #container #footer-block #related-links h3 { 388 | font-size: 14px; } 389 | #container #footer-block #related-links h4 { 390 | margin: 2px 0 16px 0; 391 | padding-bottom: 4px; 392 | font-size: 13px; 393 | color: #aaa; 394 | border-bottom: solid 1px rgba(255, 255, 255, 0.2); } 395 | #container #footer-block #related-links .links .link { 396 | display: inline-block; 397 | width: calc(50% - 3px); } 398 | #container #footer-block #related-links .links .link a { 399 | display: block; 400 | margin: 0 auto; 401 | width: calc(100% - 16px); } 402 | #container #footer-block #related-links .links .link a img { 403 | display: block; 404 | width: 100%; 405 | border-radius: 4px; } 406 | #container #footer-block #related-links .links .link h4 { 407 | text-align: center; 408 | color: #666; 409 | font-size: 13px; } 410 | 411 | /*# sourceMappingURL=style.css.map */ 412 | -------------------------------------------------------------------------------- /js/script.js: -------------------------------------------------------------------------------- 1 | let gData; 2 | let gRegions = []; 3 | let gThresholds = { 4 | carriers: 0, 5 | discharged: 0, 6 | deaths: 0, 7 | pcrtested: 0 8 | }; 9 | 10 | 11 | const LANG = $("html").attr("lang"); 12 | const SCROLLBAR_WIDTH = window.innerWidth - $(window).width(); 13 | const COLORS = { 14 | default: "#3DC", 15 | second: "#FEA", 16 | deaths: "#FB8", 17 | serious: "#FEA", 18 | pcrtests: "#6F6587,#5987A5,#3BA9B0,#48C7A6,#86E18D,#D5F474".split(","), 19 | dark: "#399", 20 | selected: "#EC2" 21 | }; 22 | const LABELS = { 23 | ja: { 24 | change: "前日比", 25 | total: "合計", 26 | transition: { 27 | carriers: ["PCR検査陽性者数"], 28 | cases: ["入院治療等を要する者"], 29 | discharged: ["退院・療養解除"], 30 | serious: ["重症者数"], 31 | deaths: ["死亡者数"], 32 | pcrtested: ["PCR検査人数"], 33 | pcrtests: ["国立感染症研究所","検疫所","地方衛生研究所・保健所","民間検査会社","大学等","医療機関"], 34 | reproduction: ["実効再生産数"] 35 | }, 36 | unit: { 37 | carriers: "名", 38 | cases: "名", 39 | discharged: "名", 40 | serious: "名", 41 | deaths: "名", 42 | pcrtested: "名", 43 | pcrtests: "件", 44 | reproduction: "" 45 | }, 46 | demography: { 47 | deaths: "死亡者", 48 | serious: "重症者", 49 | hospitalized: "要治療", 50 | discharged: "回復済" 51 | }, 52 | age: [ 53 | "80代以上", 54 | "70代", 55 | "60代", 56 | "50代", 57 | "40代", 58 | "30代", 59 | "20代", 60 | "10代", 61 | "10歳未満", 62 | "不明" 63 | ] 64 | }, 65 | en: { 66 | change: "Daily: ", 67 | total: "Total", 68 | transition: { 69 | carriers: ["Tested Positive"], 70 | cases: ["Active Cases"], 71 | discharged: ["Discharged"], 72 | serious: ["Serious"], 73 | deaths: ["Deaths"], 74 | pcrtested: ["PCR Tested"], 75 | pcrtests: ["National Institute of Infectious Diseases","Quarantine Stations","Public Health Institute, Public Health Center","Private Testing Companies","Universities","Medical Institutions"], 76 | reproduction: ["Effective Reproduction Number"] 77 | }, 78 | unit: { 79 | carriers: "", 80 | cases: "", 81 | discharged: "", 82 | serious: "", 83 | deaths: "", 84 | pcrtested: "", 85 | pcrtests: "", 86 | reproduction: "" 87 | }, 88 | demography: { 89 | deaths: "Deaths", 90 | serious: "Serious", 91 | hospitalized: "Hospitalized", 92 | discharged: "Discharged" 93 | }, 94 | age: [ 95 | "80s+", 96 | "70s", 97 | "60s", 98 | "50s", 99 | "40s", 100 | "30s", 101 | "20s", 102 | "10s", 103 | "Under 10", 104 | "Unknown" 105 | ] 106 | } 107 | }; 108 | 109 | 110 | 111 | const init = () => { 112 | const addCommas = (num) => { 113 | return String(num).replace( /(\d)(?=(\d\d\d)+(?!\d))/g, '$1,'); 114 | } 115 | 116 | const capitalize = (string) => { 117 | return string.charAt(0).toUpperCase() + string.slice(1).toLowerCase(); 118 | } 119 | 120 | const updateThresholds = () => { 121 | const median = (values) => { 122 | let sorted = values.sort((a, b) => a - b); 123 | let is = [Math.floor(values.length / 2), Math.ceil(values.length / 2)]; 124 | return (sorted[is[0]] + sorted[is[1]]) / 2; 125 | } 126 | 127 | for (thType in gThresholds) { 128 | let values = []; 129 | 130 | gData["prefectures-data"].forEach(function(pref, i){ 131 | values.push(getValuesTotal(pref[thType].values)); 132 | }); 133 | 134 | gThresholds[thType] = median(values); 135 | } 136 | } 137 | 138 | const drawTransitionBoxes = () => { 139 | $(".transition.nationwide").each(function(){ 140 | drawTransitionChart($(this), $(this).attr("code"), $(this).attr("pref"), true); 141 | moveToRight($(this)); 142 | }); 143 | } 144 | 145 | const updateAxisChartHeight = () => { 146 | $(".transition").each(function(){ 147 | $(this).find(".axis-chart").css("height", "calc(100% - " + SCROLLBAR_WIDTH + "px)"); 148 | $(this).find(".axis-cover").css("height", "calc(100% - " + SCROLLBAR_WIDTH + "px)"); 149 | }); 150 | } 151 | 152 | const drawLastDate = ($box, config) => { 153 | const getDateWithMonthName = (dateString) => { 154 | let dates = dateString.split("/"); 155 | let months = ["January","February","March","April","May","June","July","August","September","October","November","December"]; 156 | return dates[1] + " " + months[parseInt(dates[0]) - 1]; 157 | } 158 | 159 | let $updated = $box.find("h5.updated"); 160 | if (!$updated.hasClass("show")) { 161 | let lastDate = config.data.labels[config.data.labels.length - 1]; 162 | let updatedDate = { 163 | ja: lastDate.replace("/", "月") + "日時点", 164 | en: "As of " + getDateWithMonthName(lastDate) 165 | }; 166 | 167 | $updated.text(updatedDate[LANG]); 168 | $updated.addClass("show"); 169 | } 170 | } 171 | 172 | const drawTransitionChart = ($box, code, prefCode, hasDuration = false) => { 173 | 174 | const getBarColor = (code, prefCode, from, i, j) => { 175 | let ret = COLORS.default; 176 | let ymd = getDateValue(from, i, true); 177 | 178 | if (prefCode === "") { 179 | if (code === "carriers") { 180 | if (ymd < 20200508) ret = COLORS.second; 181 | } 182 | 183 | if (code === "cases") { 184 | if (ymd < 20200508) ret = COLORS.second; 185 | } 186 | 187 | if (code === "deaths") { 188 | if (ymd < 20200422) ret = COLORS.second; 189 | } 190 | 191 | if (code === "discharged") { 192 | if (ymd < 20200508) ret = COLORS.second; 193 | if (ymd < 20200422) ret = COLORS.default; 194 | } 195 | 196 | if (code === "pcrtested") { 197 | if (ymd < 20200929) ret = COLORS.second; 198 | } 199 | } 200 | 201 | if (prefCode === "13") { 202 | if (code === "pcrtested") { 203 | if (ymd < 20200507) ret = COLORS.second; 204 | } 205 | 206 | if (code === "serious") { 207 | if (ymd < 20200427) ret = COLORS.second; 208 | } 209 | } 210 | 211 | if (prefCode === "14") { 212 | if (code === "pcrtested") { 213 | if (ymd < 20200701) ret = COLORS.second; 214 | } 215 | } 216 | 217 | if (prefCode === "22") { 218 | if (code === "pcrtested") { 219 | if (ymd < 20200622) ret = COLORS.second; 220 | } 221 | } 222 | 223 | if (prefCode === "28") { 224 | if (code === "pcrtested") { 225 | if (ymd < 20200619) ret = COLORS.second; 226 | } 227 | } 228 | 229 | if (prefCode === "40") { 230 | if (code === "pcrtested") { 231 | if (ymd < 20200929) ret = COLORS.second; 232 | } 233 | } 234 | 235 | if (prefCode !== "" && prefCode !== "13") { 236 | if (code === "serious") { 237 | if (ymd < 20200508) ret = COLORS.second; 238 | } 239 | } 240 | 241 | if (prefCode === "" && code === "pcrtests") { 242 | ret = COLORS.pcrtests[j]; 243 | } 244 | 245 | if (code === "reproduction") { 246 | ret = "#242A3C"; 247 | } 248 | 249 | return ret; 250 | } 251 | 252 | const getDateValue = (from, i, isYmd) => { 253 | let dt = new Date(from[0], from[1] - 1, from[2]); 254 | dt.setDate(dt.getDate() + i); 255 | 256 | let ret = ""; 257 | let cy = dt.getFullYear(); 258 | let cm = dt.getMonth() + 1; 259 | let cd = dt.getDate(); 260 | 261 | if (isYmd) { 262 | let ymd = (parseInt(cy) * 10000) + (parseInt(cm) * 100) + parseInt(cd); 263 | ret = ymd; 264 | 265 | } else { 266 | if (LANG === "ja") { 267 | ret = cm + "/" + cd; 268 | } 269 | 270 | if (LANG === "en") { 271 | ret = cm + "/" + cd; 272 | } 273 | } 274 | 275 | return ret; 276 | } 277 | 278 | const drawLatestValue = ($box, rows) => { 279 | let valueTotal = 0; 280 | let valueLatest = 0; 281 | 282 | for (let i = 0; i < rows.length; i++) { 283 | for (let j = 0; j < rows[0].length; j++) { 284 | valueTotal += rows[i][j]; 285 | if (i === rows.length - 1) valueLatest += rows[i][j]; 286 | } 287 | } 288 | 289 | if ($box.attr("code") === "reproduction") { 290 | valueTotal = Math.round(rows[rows.length - 1][0] * 100) / 100; 291 | valueLatest = Math.round((rows[rows.length - 1][0] - rows[rows.length - 2][0]) * 100) / 100; 292 | } 293 | 294 | valueTotal = addCommas(valueTotal); 295 | valueLatest = addCommas(valueLatest); 296 | 297 | if (valueLatest.charAt(0) !== "-") valueLatest = "+" + valueLatest; 298 | 299 | let $latest = $box.find(".latest"); 300 | $latest.find(".value").text(valueTotal); 301 | $latest.find(".unit").text(LABELS[LANG].unit[$box.attr("code")]); 302 | $latest.find(".type").text(capitalize($box.find(".switch[value=total]").text())); 303 | $latest.find(".change").text(LABELS[LANG].change + " " + valueLatest); 304 | } 305 | 306 | const drawAxisChart = ($box, mainConfigData, isStacked) => { 307 | let $chart = $box.find(".axis-chart").empty().html(""); 308 | let $canvas = $chart.find("canvas")[0]; 309 | 310 | let axisConfig = { 311 | type: "bar", 312 | data: mainConfigData, 313 | options: { 314 | maintainAspectRatio: false, 315 | legend: { 316 | display: false 317 | }, 318 | title: { 319 | display: false 320 | }, 321 | scales: { 322 | xAxes: [{ 323 | stacked: isStacked, 324 | drawBorder: false, 325 | gridLines: { 326 | display: false 327 | }, 328 | ticks: { 329 | fontColor: "rgba(255,255,255,0.0)", 330 | maxRotation: 0, 331 | minRotation: 0 332 | } 333 | }], 334 | yAxes: [{ 335 | id: "axisScale", 336 | location: "bottom", 337 | stacked: isStacked, 338 | gridLines: { 339 | drawBorder: false, 340 | display: false 341 | }, 342 | ticks: { 343 | beginAtZero: true, 344 | fontColor: "rgba(255,255,255,0.7)", 345 | callback: function(value, index, values) { 346 | if (Math.floor(value) === value) { 347 | return addCommas(value.toString()); 348 | } 349 | } 350 | } 351 | }] 352 | } 353 | } 354 | }; 355 | 356 | axisConfig.data.datasets.forEach(function(dataset, i){ 357 | dataset.backgroundColor = "transparent"; 358 | dataset.borderColor = "transparent"; 359 | dataset.pointBorderColor = "transparent"; 360 | }); 361 | 362 | axisConfig.data.labels.forEach(function(label, i){ 363 | label = ""; 364 | }); 365 | 366 | window.myChart = new Chart($canvas.getContext('2d'), axisConfig); 367 | 368 | let axisMax = window.myChart.scales.axisScale.max; 369 | let axisMin = window.myChart.scales.axisScale.min; 370 | let axisMaxLength = Math.max(axisMax.toString().length, axisMin.toString().length); 371 | let axisCoverWidth = 0; 372 | switch(axisMaxLength) { 373 | case 1: axisCoverWidth = 36; break; 374 | case 2: axisCoverWidth = 40; break; 375 | case 3: axisCoverWidth = 48; break; 376 | case 4: axisCoverWidth = 54; break; 377 | case 5: axisCoverWidth = 66; break; 378 | case 6: axisCoverWidth = 72; break; 379 | case 7: axisCoverWidth = 78; break; 380 | } 381 | 382 | $box.find(".axis-cover").width(axisCoverWidth.toString() + "px"); 383 | } 384 | 385 | let $chart = $box.find(".main-chart").empty().html(""); 386 | let $canvas = $chart.find("canvas")[0]; 387 | let switchValue = $box.find(".switch.selected").attr("value"); 388 | let hasMovingAverage = ($box.find(".checkbox.moving-average").hasClass("on")) ? true: false; 389 | 390 | let root = gData.transition[code]; 391 | if (prefCode !== "") root = gData["prefectures-data"][parseInt(prefCode) - 1][code]; 392 | let from = root.from; 393 | let rows = root.values; 394 | 395 | drawLatestValue($box, rows); 396 | 397 | let config = { 398 | type: "bar", 399 | data: { 400 | labels: [], 401 | datasets: [] 402 | }, 403 | options: { 404 | maintainAspectRatio: false, 405 | animation: { 406 | duration: (hasDuration) ? 1000: 0 407 | }, 408 | legend: { 409 | display: false 410 | }, 411 | title: { 412 | display: false 413 | }, 414 | tooltips: { 415 | xPadding: 24, 416 | yPadding: 12, 417 | displayColors: false, 418 | callbacks: { 419 | title: function(tooltipItem){ 420 | let dateTime = tooltipItem[0].xLabel.trim(); 421 | if (LANG === "ja") dateTime = dateTime.replace("/","月") + "日時点"; 422 | if (LANG === "en") dateTime = "As of " + dateTime; 423 | let suffix = $box.find(".switch.selected").text(); 424 | return dateTime + " " + suffix; 425 | }, 426 | label: function(tooltipItem, data){ 427 | let ret = []; 428 | let total = 0; 429 | data.datasets.forEach(function(ds, i){ 430 | if (!hasMovingAverage || i >= 1) { 431 | ret.push(ds.label + ": " + addCommas(ds.data[tooltipItem.index]) + " " + LABELS[LANG].unit[code]); 432 | total += ds.data[tooltipItem.index]; 433 | } 434 | }); 435 | let showTotalLength = (hasMovingAverage) ? 3: 2; 436 | if (data.datasets.length >= showTotalLength) { 437 | ret.push(LABELS[LANG].total + ": " + addCommas(total) + " " + LABELS[LANG].unit[code]); 438 | } 439 | return ret; 440 | } 441 | } 442 | }, 443 | scales: { 444 | xAxes: [{ 445 | stacked: true, 446 | gridLines: { 447 | display: false, 448 | zeroLineColor: "rgba(255,255,0,0.7)" 449 | }, 450 | ticks: { 451 | fontColor: "rgba(255,255,255,0.7)", 452 | maxRotation: 0, 453 | minRotation: 0, 454 | callback: (label) => { 455 | return " " + label + " "; 456 | } 457 | } 458 | }], 459 | yAxes: [{ 460 | location: "bottom", 461 | stacked: true, 462 | gridLines: { 463 | display: true, 464 | zeroLineColor: "rgba(255,255,255,0.7)", 465 | borderDash: [3, 1], 466 | color: "rgba(255, 255, 255, 0.3)" 467 | }, 468 | ticks: { 469 | beginAtZero: true, 470 | fontColor: "transparent" 471 | } 472 | }] 473 | }, 474 | layout: { 475 | padding: { 476 | left: 10 477 | } 478 | } 479 | } 480 | }; 481 | 482 | for (let i = 0; i < rows[0].length; i++) { 483 | config.data.datasets.push({ 484 | label: LABELS[LANG].transition[code][i], 485 | backgroundColor: [], 486 | data: [] 487 | }); 488 | 489 | if (code === "reproduction") { 490 | let ds = config.data.datasets[config.data.datasets.length - 1]; 491 | ds.type = "line"; 492 | ds.fill = false; 493 | ds.pointRadius = 2; 494 | ds.pointBorderColor = "#EC2"; 495 | ds.borderColor = "#EC2"; 496 | } 497 | } 498 | 499 | let prevBarColor = ""; 500 | let totalValues = []; 501 | for (let i = 0; i < rows[0].length; i++) {totalValues.push(0);} 502 | 503 | rows.forEach(function(row, i){ 504 | 505 | let curBarColor = getBarColor(code, prefCode, from, i, 0); 506 | config.data.labels.push(getDateValue(from, i, false)); 507 | 508 | for (let j = 0; j < rows[0].length; j++) { 509 | totalValues[j] += row[j]; 510 | 511 | let value = row[j]; 512 | 513 | if ((prevBarColor !== curBarColor) && (code !== "reproduction")) { 514 | value = 0; 515 | } 516 | 517 | if (row[j] === "") { 518 | value = 0; 519 | } 520 | 521 | if (value < 0 && (switchValue === "total" || code === "carriers" || code === "discharged" || code === "deaths" || code === "pcrtested" || code === "pcrtests")) { 522 | value = 0; 523 | } 524 | 525 | if (switchValue === "total") { 526 | value = totalValues[j]; 527 | } 528 | 529 | config.data.datasets[j].data.push(value); 530 | config.data.datasets[j].backgroundColor.push(getBarColor(code, prefCode, from, i, j)); 531 | } 532 | 533 | prevBarColor = curBarColor; 534 | }); 535 | 536 | $chart.width(Math.max(config.data.labels.length * 8, $chart.width())); 537 | 538 | if (hasMovingAverage) { 539 | let days = 7; 540 | let dataset = { 541 | type: "line", 542 | label: LABELS[LANG].movingAverage, 543 | fill: false, 544 | borderColor: "#FBA", 545 | borderWidth: 3, 546 | pointRadius: 0, 547 | data: [] 548 | }; 549 | 550 | for (let i = 0; i < config.data.datasets[0].data.length; i++) { 551 | let value = null; 552 | if (i >= days) { 553 | value = 0; 554 | for (let j = 0; j < days; j++) { 555 | config.data.datasets.forEach(function(dataset, dsi){ 556 | value += parseInt(dataset.data[i - j]); 557 | }); 558 | } 559 | value = value / days; 560 | } 561 | 562 | dataset.data.push(value); 563 | } 564 | 565 | config.data.datasets.unshift(dataset); 566 | } 567 | 568 | drawLastDate($box, config); 569 | drawAxisChart($box, $.extend(true, {}, config.data), true); 570 | 571 | window.myChart = new Chart($canvas.getContext('2d'), config); 572 | } 573 | 574 | const moveToRight = ($box) => { 575 | let $chart = $box.find(".main-chart"); 576 | let $wrapper = $box.find(".main-chart-wrapper"); 577 | $wrapper.animate({scrollLeft: $chart.width()}, 0); 578 | } 579 | 580 | const getValuesTotal = (values) => { 581 | let ret = 0; 582 | 583 | values.forEach(function(row, i){ 584 | row.forEach(function(val, j){ 585 | ret += val; 586 | }); 587 | }); 588 | 589 | return ret; 590 | } 591 | 592 | const getPrefColor = (prefCode) => { 593 | let type = $("#select-pref-type").val(); 594 | let ret = "rgba(90, 90, 90, 0.6)"; 595 | let value = getValuesTotal(gData["prefectures-data"][parseInt(prefCode) - 1][type].values); 596 | 597 | if (value >= 1) { 598 | ret = COLORS.dark; 599 | if (gThresholds[type] === 0) ret = COLORS.default; 600 | } 601 | 602 | if (value >= gThresholds[type] && gThresholds[type] >= 1) ret = COLORS.default; 603 | return ret; 604 | } 605 | 606 | const drawJapanMap = () => { 607 | $("#japan-map").empty(); 608 | const WIDTH = $("#japan-map").width(); 609 | 610 | let prefs = []; 611 | gData["prefectures-map"].forEach(function(pref, i){ 612 | prefs.push({ 613 | code: pref.code, 614 | jp: pref.ja, 615 | en: pref.en, 616 | color: getPrefColor(pref.code), 617 | hoverColor: COLORS.selected, 618 | prefectures: [pref.code] 619 | }); 620 | }); 621 | 622 | $("#japan-map").japanMap({ 623 | areas: prefs, 624 | selection: "prefecture", 625 | width: WIDTH, 626 | borderLineColor: "#242a3c", 627 | borderLineWidth : 0.25, 628 | lineColor : "#ccc", 629 | lineWidth: 1, 630 | drawsBoxLine: false, 631 | showsPrefectureName: false, 632 | movesIslands : true, 633 | onHover: function(data){ 634 | drawRegionChart(data.code); 635 | drawPrefectureCharts(data.code); 636 | } 637 | }); 638 | } 639 | 640 | const drawDemographyChart = () => { 641 | $wrapper = $("#demography-chart").empty().html(''); 642 | $canvas = $wrapper.find("canvas")[0]; 643 | 644 | let config = { 645 | type: "horizontalBar", 646 | data: { 647 | labels: [], 648 | datasets: [{ 649 | label: LABELS[LANG].demography.deaths, 650 | backgroundColor: COLORS.deaths, 651 | borderWidth: 0.5, 652 | borderColor: "#242a3c", 653 | data: [] 654 | },{ 655 | label: LABELS[LANG].demography.serious, 656 | backgroundColor: COLORS.serious, 657 | borderWidth: 0.5, 658 | borderColor: "#242a3c", 659 | data: [] 660 | },{ 661 | label: LABELS[LANG].demography.hospitalized, 662 | backgroundColor: COLORS.default, 663 | borderWidth: 0.5, 664 | borderColor: "#242a3c", 665 | data: [] 666 | },{ 667 | label: LABELS[LANG].demography.discharged, 668 | backgroundColor: COLORS.dark, 669 | borderWidth: 0.5, 670 | borderColor: "#242a3c", 671 | data: [] 672 | }] 673 | }, 674 | options: { 675 | aspectRatio: 0.9, 676 | responsive: true, 677 | legend: { 678 | display: true, 679 | labels: { 680 | fontColor: "rgba(255, 255, 255, 0.7)" 681 | } 682 | }, 683 | title: { 684 | display: false 685 | }, 686 | tooltips: { 687 | xPadding: 24, 688 | yPadding: 12, 689 | displayColors: true, 690 | callbacks: { 691 | title: function(tooltipItem){ 692 | let suffix = { 693 | ja: "名", 694 | en: "cases" 695 | }; 696 | let age = tooltipItem[0].yLabel; 697 | let total = 0; 698 | tooltipItem.forEach(function(item, i){ 699 | total += item.xLabel; 700 | }); 701 | 702 | return age + ": " + addCommas(total) + " " + suffix[LANG]; 703 | }, 704 | label: function(tooltipItem, data){ 705 | let suffix = { 706 | ja: "名", 707 | en: " cases" 708 | }; 709 | return data.datasets[tooltipItem.datasetIndex].label + ": " + addCommas(tooltipItem.value) + suffix[LANG]; 710 | } 711 | } 712 | }, 713 | scales: { 714 | xAxes: [{ 715 | stacked: true, 716 | position: "top", 717 | gridLines: { 718 | color: "rgba(255,255,255,0.2)", 719 | zeroLineColor: "rgba(255,255,255,0.2)", 720 | borderDash: [3, 1] 721 | }, 722 | ticks: { 723 | suggestedMin: 0, 724 | fontColor: "rgba(255,255,255,0.7)", 725 | callback: function(value, index, values) { 726 | return addCommas(value); 727 | } 728 | } 729 | }], 730 | yAxes: [{ 731 | stacked: true, 732 | barPercentage: 0.7, 733 | gridLines: { 734 | color: "rgba(255,255,255,0.1)" 735 | }, 736 | ticks: { 737 | fontColor: "rgba(255,255,255,0.7)" 738 | } 739 | }] 740 | } 741 | } 742 | }; 743 | 744 | if ($wrapper.outerWidth() >= 400) config.options.aspectRatio = 1.1; 745 | if ($wrapper.outerWidth() >= 600) config.options.aspectRatio = 1.3; 746 | 747 | gData.demography.forEach(function(age, index){ 748 | config.data.labels.push(LABELS[LANG].age[index]); 749 | for (let i = 0; i < Object.keys(LABELS[LANG].demography).length; i++) { 750 | config.data.datasets[i].data.push(age[i]); 751 | } 752 | }); 753 | 754 | let ctx = $canvas.getContext('2d'); 755 | window.myChart = new Chart(ctx, config); 756 | } 757 | 758 | const drawRegionChart = (prefCode) => { 759 | let $wrapper = $("#region-chart").empty().html(''); 760 | let $canvas = $wrapper.find("canvas")[0]; 761 | let dataType = $("#select-pref-type").val(); 762 | 763 | let config = { 764 | type: "horizontalBar", 765 | data: { 766 | labels: [], 767 | datasets: [{ 768 | label: "", 769 | backgroundColor: [], 770 | data: [] 771 | }] 772 | }, 773 | options: { 774 | aspectRatio: 0.4, 775 | animation: { 776 | duration: 1000 777 | }, 778 | responsive: true, 779 | legend: { 780 | display: false 781 | }, 782 | title: { 783 | display: false 784 | }, 785 | tooltips: { 786 | xPadding: 24, 787 | yPadding: 12, 788 | displayColors: true, 789 | callbacks: { 790 | title: function(tooltipItem){ 791 | gData["prefectures-map"].forEach(function(pref, i){ 792 | if (pref.ja === tooltipItem[0].yLabel || pref.en === tooltipItem[0].yLabel) { 793 | if ($("#select-prefecture").val() !== pref.code) { 794 | drawPrefectureCharts(pref.code); 795 | } 796 | } 797 | }); 798 | return tooltipItem[0].yLabel; 799 | }, 800 | label: function(tooltipItem, data){ 801 | let suffix = { 802 | ja: " 名", 803 | en: " cases" 804 | }; 805 | return tooltipItem.xLabel + suffix[LANG]; 806 | } 807 | } 808 | }, 809 | scales: { 810 | xAxes: [{ 811 | position: "top", 812 | gridLines: { 813 | color: "rgba(255,255,255,0.2)" 814 | }, 815 | ticks: { 816 | suggestedMin: 0, 817 | fontColor: "rgba(255,255,255,0.7)", 818 | callback: function(value, index, values) { 819 | return addCommas(value); 820 | } 821 | } 822 | }], 823 | yAxes: [{ 824 | gridLines: { 825 | color: "rgba(255,255,255,0.1)" 826 | }, 827 | ticks: { 828 | fontColor: "rgba(255,255,255,0.7)", 829 | } 830 | }] 831 | } 832 | } 833 | }; 834 | 835 | if ($wrapper.outerWidth() >= 400) config.options.aspectRatio = 0.5; 836 | if (prefCode !== "") config.options.animation.duration = 0; 837 | 838 | let prefs = []; 839 | 840 | gData["prefectures-data"].forEach(function(pref, i){ 841 | prefs.push({ 842 | name: gData["prefectures-map"][i][LANG], 843 | value: getValuesTotal(pref[dataType].values), 844 | code: (i + 1).toString() 845 | }); 846 | }); 847 | 848 | prefs.sort((a, b) => { 849 | if(a.value < b.value) return 1; 850 | if(a.value > b.value) return -1; 851 | return 0; 852 | }); 853 | 854 | prefs.forEach(function(pref, i){ 855 | config.data.labels.push(pref.name); 856 | config.data.datasets[0].data.push(pref.value); 857 | 858 | if (prefCode == pref.code) { 859 | config.data.datasets[0].backgroundColor.push(COLORS.selected); 860 | } else { 861 | config.data.datasets[0].backgroundColor.push(getPrefColor(pref.code)); 862 | } 863 | }); 864 | 865 | let ctx = $canvas.getContext('2d'); 866 | window.myChart = new Chart(ctx, config); 867 | } 868 | 869 | const drawPrefectureCharts = (prefCode) => { 870 | $("#select-prefecture").val(prefCode); 871 | $(".transition.prefecture").each(function(){ 872 | $(this).attr("pref", prefCode); 873 | $(this).find("h3").find("span").text(gData["prefectures-map"][parseInt(prefCode) - 1][LANG]); 874 | drawTransitionChart($(this), $(this).attr("code"), $(this).attr("pref"), true); 875 | moveToRight($(this)); 876 | }); 877 | } 878 | 879 | const showUpdateDate = () => { 880 | $(".updated-last").text(gData.updated.last[LANG]); 881 | $(".updated-demography").text(gData.updated.demography[LANG]); 882 | } 883 | 884 | const loadData = () => { 885 | $.getJSON("data/data.json", function(data){ 886 | gData = data; 887 | updateThresholds(); 888 | drawTransitionBoxes(); 889 | drawDemographyChart(); 890 | drawJapanMap(); 891 | drawRegionChart(""); 892 | drawPrefectureCharts("13"); 893 | showUpdateDate(); 894 | updateAxisChartHeight(); 895 | $("#cover-block").fadeOut(); 896 | }) 897 | } 898 | 899 | const bindEvents = () => { 900 | $(".transition").find(".switch").on("click",function(){ 901 | let $box = $(this).closest(".transition"); 902 | $(this).siblings(".switch").removeClass("selected"); 903 | $(this).addClass("selected"); 904 | drawTransitionChart($box, $box.attr("code"), $box.attr("pref"), true); 905 | }); 906 | 907 | $("#select-prefecture").on("change", function(){ 908 | let prefCode = $(this).val(); 909 | drawPrefectureCharts(prefCode); 910 | }); 911 | 912 | $("#select-pref-type").on("change", function(){ 913 | drawJapanMap(); 914 | drawRegionChart(""); 915 | }); 916 | 917 | $(".more").on("click",function(){ 918 | $(this).closest("p.notes").addClass("show"); 919 | }); 920 | 921 | $(".checkboxes").find(".checkbox").on("click", function(){ 922 | if ($(this).hasClass("on")) { 923 | $(this).removeClass("on"); 924 | } else { 925 | $(this).addClass("on"); 926 | } 927 | let $box = $(this).closest(".transition"); 928 | drawTransitionChart($box, $box.attr("code"), $box.attr("pref"), false); 929 | }); 930 | 931 | $('a[href^="#"]').click(function() { 932 | let href = $(this).attr("href"); 933 | let position = $(href).offset().top; 934 | $('body,html').animate({scrollTop: position}, 400, 'swing'); 935 | return false; 936 | }); 937 | } 938 | 939 | loadData(); 940 | bindEvents(); 941 | }; 942 | 943 | 944 | $(function(){ 945 | init(); 946 | }); 947 | -------------------------------------------------------------------------------- /index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 新型コロナウイルス 国内感染の状況 16 | 17 | 18 | 29 | 30 | 31 | 32 | 33 |
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データを読み込んでいます…

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表示されない場合は
ページを更新してください。

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新型コロナウイルス国内感染の状況

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日本国内において現在確定している新型コロナウイルス感染症（COVID-19）の状況を厚生労働省の報道発表資料からビジュアル化した。

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制作：荻原 和樹（東洋経済オンライン編集部）

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お知らせ

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本サイトの担当者変更に伴い、修正履歴やデータファイルを保存・更新しているGitHubリポジトリは1月31日をもちまして更新を停止いたします。

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なお本サイト自体は従来と同様に更新を続ける予定であり、データファイルにつきましても更新継続の方法を検討中です。

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ご質問・ご意見は東洋経済新報社のお問い合わせフォームよりお送りください。

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ENGLISH

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全国の状況

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検査陽性者数

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新規
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累計
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移動平均線を表示
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データソース：厚生労働省オープンデータ。データの定義や注意事項はリンク先またはページ下部の注記を参照。もっと読む

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入院治療等を要する者

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増減
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最新
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移動平均線を表示
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データソース：厚生労働省オープンデータ。5月8日よりデータソースが変わったためグラフの色を変えている。その他の定義や注意事項はリンク先またはページ下部の注記を参照。もっと読む

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退院・療養解除

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新規
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累計
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移動平均線を表示
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データソース：厚生労働省オープンデータ。4月22日より厚生労働省が確認中（突合作業中）のケースを含むため、また5月8日よりデータソースが変わったため、それぞれグラフの色を変えている。その他の定義や注意事項はリンク先またはページ下部の注記を参照。もっと読む

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重症者数

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増減
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最新
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移動平均線を表示
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厚生労働省「新型コロナウイルス感染症の現在の状況と厚生労働省の対応について」＞「国内の状況について」＞「入院治療等を要する者」＞「うち重症者」。5月8日よりデータソースが変わったためグラフの色を変えている。以前の表記は「人工呼吸器又は集中治療室に入院している者」。その他の定義や注意事項はページ下部の注記を参照。もっと読む

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死亡者数

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累計
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移動平均線を表示
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データソース：厚生労働省オープンデータ。4月22日より厚生労働省が確認中（突合作業中）のケースを含むため、また5月8日よりデータソースが変わったため、それぞれグラフの色を変えている。6月19日の死亡者数には、埼玉県においてPCR検査陽性者だが新型コロナウイルス感染症以外の疾病により死亡した患者13人が同日に一括計上された分が含まれる。その他の定義や注意事項はリンク先またはページ下部の注記を参照。もっと読む

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PCR検査人数

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累計
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移動平均線を表示
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データソース：厚生労働省オープンデータ。3月3日以降は濃厚接触者に対する検査も含む。9月29日以降は福岡県における民間検査分を含むためグラフの色を変えている。その他の定義や注意事項はリンク先またはページ下部の注記を参照。もっと読む

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PCR検査件数

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累計
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移動平均線を表示
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データソース：厚生労働省オープンデータ。厚生労働省の資料「国内における新型コロナウイルスに係るPCR検査の実施状況」より。土日祝日は検査をしていても厚生労働省に報告が行われず検査数「0」となる場合がある。その際は休日分の検査数が判明すれば過去データを修正し、そうでなければ直近の平日に休日分も含めて検査数が加算される。調査中の項目が含まれる日はグラフ化していないため、直近数日分は更新されない場合がある。日付は結果判明日ベース。その他の定義や注意事項はページ下部の注記を参照。もっと読む

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実効再生産数

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実効再生産数とは「1人の感染者が平均して何人に感染させるか」を表す指標。計算式は「（直近7日間の新規陽性者数／その前7日間の新規陽性者数）^（平均世代時間／報告間隔）」。平均世代時間は5日、報告間隔は7日と仮定。リアルタイム性を重視して流行動態を把握するため、報告日ベースによる簡易的な計算式を用いている。精密な計算ではないこと、報告の遅れに影響を受けることに注意。モデルと監修は北海道大学大学院医学研究院・西浦博教授。計算式の詳細は西浦教授の公開するGitHubリポジトリを参照。もっと読む

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年齢別の陽性者数

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「不明」には調査中や非公表も含む。「回復済」は死亡、重症、要治療いずれにも該当しない陽性者の数。年齢階級や入退院の状況など、陽性者の個別の状況について都道府県等から厚生労働省が情報を得られたものを集計しており、総数は「全国の状況」の合計数とは一致しない場合がある。もっと読む

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都道府県別

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各都道府県の状況

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の検査陽性者数

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累計
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移動平均線を表示
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データソースは厚生労働省による都道府県発表の転記。ただし東京都など一部の都道府県は個別の発表から修正する場合がある。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

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の退院・療養解除

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新規
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累計
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移動平均線を表示
412 |
413 |

データソースは厚生労働省による都道府県発表の転記。ただし東京都など一部の都道府県は個別の発表から修正する場合がある。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

414 |
415 |
416 |
417 |
418 |

の重症者数

419 |
420 |
421 | 422 | 423 | 424 |
425 |
426 |
427 |

428 |
429 |
増減
430 |
最新
431 |
432 |
433 |
434 |
435 |
436 |
437 |
438 |
439 |
440 |
移動平均線を表示
441 |
442 |

データソースは厚生労働省による都道府県発表の転記。ただし東京都など一部の都道府県は個別の発表から修正する場合がある。東京都は4月27日に重症者数の定義を変更した。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

443 |
444 |
445 |
446 |
447 |

の死亡者数

448 |
449 |
450 | 451 | 452 | 453 |
454 |
455 |
456 |

457 |
458 |
新規
459 |
累計
460 |
461 |
462 |
463 |
464 |
465 |
466 |
467 |
468 |
469 |
移動平均線を表示
470 |
471 |

データソースは厚生労働省による都道府県発表の転記。ただし東京都など一部の都道府県は個別の発表から修正する場合がある。6月19日の埼玉県には、PCR検査陽性者だが新型コロナウイルス感染症以外の疾病により死亡した患者13人が同日に一括計上された分が含まれる。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

472 |
473 |
474 |
475 |
476 |

のPCR検査人数

477 |
478 |
479 | 480 | 481 | 482 |
483 |
484 |
485 |

486 |
487 |
新規
488 |
累計
489 |
490 |
491 |
492 |
493 |
494 |
495 |
496 |
497 |
498 |
移動平均線を表示
499 |
500 |

データソースは厚生労働省による都道府県発表の転記。ただし東京都など一部の都道府県は個別の発表から修正する場合がある。土日祝日は検査をしていても厚生労働省に報告が行われず検査数「0」となる場合がある。その際は休日分の検査数が判明すれば過去データを修正し、そうでなければ直近の平日に休日分も含めて検査数が加算される。6/18以降の兵庫県、6/21以降の静岡県、9/29以降の福岡県は民間検査機関での検査も含む。東京都の数字は5/7より医療機関における保険適用分を、5/13より抗原検査の陽性判明数を、6/17より抗原検査の陰性判明数を含む。詳細は「よくあるご質問」を参照。3/11の秋田県は秋田市のみの数値。3/16-22の愛知県は名古屋市を除く。千葉県は3/21、大阪府は3/22からのみ計上。神奈川県は都道府県発表でのデータ修正を反映して7/1以降を修正。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

501 |
502 |
503 |
504 |
505 |

の実効再生産数

506 |
507 |
508 | 509 | 510 | 511 |
512 |
513 |
514 |

515 |
516 |
517 |
518 |
519 |
520 |
521 |
522 |

陽性者数が少ない都道府県は数人の違いで実効再生産数が大きく変動する場合がある。前週の新規陽性者が0など計算不可能なケースでは実効再生産数も0としている。その他の定義や注意事項は「全国の状況」のグラフ注釈やページ下部の注記を参照。もっと読む

523 |
524 |
525 |
526 |
527 |
528 | 594 |
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