Leng, T and Flasche, S. 2020. tsleng93/SocialBubble. [Online]. Github. Available from: https://doi.org/10.5281/zenodo.3982789
Leng, T and Flasche, S. tsleng93/SocialBubble. [Internet] LSHTM Data Compass. Github; 2020. Available from: https://doi.org/10.5281/zenodo.3982789
Leng, T and Flasche, S (2020). tsleng93/SocialBubble. [Data Collection]. Github. https://doi.org/10.5281/zenodo.3982789
Description
This repository contains the underlying code and functions used in the paper "The effectiveness of social bubbles as part of a Covid-19 lockdown exit strategy, a modelling study", by Trystan Leng*, Connor White, Joe Hilton, Adam J Kucharski, Lorenzo Pellis, Helena Stage, Nicholas Davies, CMMID nCov working group, Matt Keeling & Stefan Flasche. Underlying code and functions are written in matlab, and visualisations are written in matlab or R.
Keywords
| Data capture method | Simulation |
|---|---|
| Date (Published in a 3rd party system) | 2020 |
| Language(s) of written materials | Español |
| Data Creators | Leng, T and Flasche, S |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Warwick, Warwick, United Kingdom, University of Manchester, Manchester, United Kingdom |
| Depositor | Gareth Knight |
|---|---|
| Date Deposited | 18 Jun 2020 08:40 |
| Last Modified | 24 Aug 2020 12:18 |
| Publisher | Github |
