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

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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
Resource Type	Resource Type Resource Description Dataset Quantitative
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	09 Dec 2025 15:01
Publisher	Zenodo