Mapping social distancing measures to the reproduction number for COVID-19.
COVID-19 reproduction number
school closures
social contact data
social distancing measures
Journal
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
ISSN: 1471-2970
Titre abrégé: Philos Trans R Soc Lond B Biol Sci
Pays: England
ID NLM: 7503623
Informations de publication
Date de publication:
19 07 2021
19 07 2021
Historique:
entrez:
31
5
2021
pubmed:
1
6
2021
medline:
11
6
2021
Statut:
ppublish
Résumé
In the absence of a vaccine, severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) transmission has been controlled by preventing person-to-person interactions via social distancing measures. In order to re-open parts of society, policy-makers need to consider how combinations of measures will affect transmission and understand the trade-offs between them. We use age-specific social contact data, together with epidemiological data, to quantify the components of the COVID-19 reproduction number. We estimate the impact of social distancing policies on the reproduction number by turning contacts on and off based on context and age. We focus on the impact of re-opening schools against a background of wider social distancing measures. We demonstrate that pre-collected social contact data can be used to provide a time-varying estimate of the reproduction number (
Identifiants
pubmed: 34053268
doi: 10.1098/rstb.2020.0276
pmc: PMC8165600
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
20200276Subventions
Organisme : Medical Research Council
ID : MC_PC_19067
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19067/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V038613/1
Pays : United Kingdom
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