├── saRNA_vaccine_DS_production_modelling.spf ├── saRNA_vaccine_DS_production_TEA_modelling_assumption&results.xlsx └── README.md /saRNA_vaccine_DS_production_modelling.spf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZKis-ZK/RNA-vaccine-drug-substance-production-techno-economic-modelling/HEAD/saRNA_vaccine_DS_production_modelling.spf -------------------------------------------------------------------------------- /saRNA_vaccine_DS_production_TEA_modelling_assumption&results.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZKis-ZK/RNA-vaccine-drug-substance-production-techno-economic-modelling/HEAD/saRNA_vaccine_DS_production_TEA_modelling_assumption&results.xlsx -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # RNA vaccine drug substance production techno-economic modelling 2 | 3 | Modelling files related to the journal article titled "Rapid development and deployment of high-volume vaccines for pandemic response" submitted for publication to the Journal of Advanced Manufacturing and Processing (JAMP). Year: 2020. Article Authors: Zoltán Kis, Cleo Kontoravdi, Antu K. Dey, Robin Shattock, Nilay Shah 4 | 5 | 6 | This repository contains the following files: 7 | - the SuperPro Designer Version 11, Build 2 (Intelligen, Inc.) model of RNA vaccine drug substance production process ("saRNA_vaccine_DS_production_modelling.spf"); 8 | - the economic evaluation report generated by SuperPro Designer ("saRNA_vaccine_DS_production_modelling_EER.rtf"); 9 | - the Excel file were the assumptions, techno-economic calculations and results are shown ("saRNA_vaccine_DS_production_TEA_modelling_assumption&results.xlsx"). 10 | 11 | 12 | Acknowledgements: 13 | This research is funded by the Department of Health and Social Care using UK Aid funding and is managed by the Engineering and Physical Sciences Research Council (EPSRC, grant number: EP/R013764/1). The views expressed in this publication are those of the author(s) and not necessarily those of the Department of Health and Social Care. 14 | --------------------------------------------------------------------------------