Leng, T and Flasche, S. 2020. tsleng93/SocialBubble: Social Bubble (including density dependence). [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.3982789
Leng, T and Flasche, S. tsleng93/SocialBubble: Social Bubble (including density dependence) [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.3982789
Leng, T and Flasche, S (2020). tsleng93/SocialBubble: Social Bubble (including density dependence). [Data Collection]. Zenodo. 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 (Date published in a 3rd party system) | 3 September 2020 |
| Language(s) of written materials | English |
| 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 |
| Date Deposited | 18 Jun 2020 08:40 |
|---|---|
| Last Modified | 08 Jul 2021 12:49 |
| Publisher | Zenodo |
