tsleng93/SocialBubble: Social Bubble (including density dependence)
Leng, T and Flasche, S
(2020).
tsleng93/SocialBubble: Social Bubble (including density dependence).
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3982789
(2020).
tsleng93/SocialBubble: Social Bubble (including density dependence).
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.3982789
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
SARS-CoV2, COVID-19, Coronavirus, Social bubble, Contact clustering, Exit strategy| Item Type | Dataset |
|---|---|
| Capture method | Simulation |
| Date | 3 September 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Leng, T and Flasche, S
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| 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 |
No files available. Please consult associated links.
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