Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ. 2020. Stochastic age-structured model of SARS-nCoV-2 transmission for UK scenario projections. [Online]. Github. Available from: https://github.com/cmmid/covid-uk
Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ. Stochastic age-structured model of SARS-nCoV-2 transmission for UK scenario projections. [Internet] LSHTM Data Compass. Github; 2020. Available from: https://github.com/cmmid/covid-uk
Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ (2020). Stochastic age-structured model of SARS-nCoV-2 transmission for UK scenario projections. [Data Collection]. Github. https://github.com/cmmid/covid-uk
Description
R code produced when performing a scenario analysis of COVID-19 outbreak in the United Kingdom. This codeset is hosted on Github and associated with a paper undergoing review.
Keywords
| Data capture method | Aggregation | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Date (Completed) | 2 April 2020 | ||||||||
| Geographical area covered |
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| Language(s) of written materials | English |
| Data Creators | Davies, NG, Kucharski, AJ, Eggo, RM, Gimma, A, COVID-19 Working Group and Edmunds, WJ |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Depositor | Gareth Knight |
|---|---|
| Date Deposited | 01 May 2020 09:29 |
| Last Modified | 05 May 2020 13:55 |
| Publisher | Github |
