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Data · dataset · 2020

tsleng93/SocialBubble: Social Bubble (including density dependence)

Listed in LSHTM Data Compass

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.

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Where it is published

Catalogue records · 1

Topics

From keywords
Earth & Environmental Science · Humanities · Life Sciences · Medicine & Health · Social Science
Inferred from text
Epidemiology 69%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
LSHTM Data Compassoai:datacompass.lshtm.ac.uk:178212 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4202enrichment · lshtm ac uktaxonomy-embedding@1.0.0title+keywords+description (69%)
concepts[field].local:field:earth-environmentalmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
descriptionsource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/description
publication_datesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0
titlesource · lshtm ac ukconnector:lshtm_ac_uk@1.0.0/metadata/dc/title