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The population attributable fraction of cases due to gatherings and groups with relevance to COVID-19 mitigation strategies.
Brooks-Pollock, Ellen; Read, Jonathan M; House, Thomas; Medley, Graham F; Keeling, Matt J; Danon, Leon.
  • Brooks-Pollock E; Bristol Veterinary School, University of Bristol, Bristol BS40 5DU, UK.
  • Read JM; Population Health Sciences, Bristol Medical School, Bristol, BS8 2BN, UK.
  • House T; Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK.
  • Medley GF; Department of Mathematics, University of Manchester, Manchester M13 9PL, UK.
  • Keeling MJ; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK.
  • Danon L; Mathematics Institute and Department of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200273, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1309691
ABSTRACT
Many countries have banned groups and gatherings as part of their response to the pandemic caused by the coronavirus, SARS-CoV-2. Although there are outbreak reports involving mass gatherings, the contribution to overall transmission is unknown. We used data from a survey of social contact behaviour that specifically asked about contact with groups to estimate the population attributable fraction (PAF) due to groups as the relative change in the basic reproduction number when groups are prevented. Groups of 50+ individuals accounted for 0.5% of reported contact events, and we estimate that the PAF due to groups of 50+ people is 5.4% (95% confidence interval 1.4%, 11.5%). The PAF due to groups of 20+ people is 18.9% (12.7%, 25.7%) and the PAF due to groups of 10+ is 25.2% (19.4%, 31.4%). Under normal circumstances with pre-COVID-19 contact patterns, large groups of individuals have a relatively small epidemiological impact; small- and medium-sized groups between 10 and 50 people have a larger impact on an epidemic. This article is part of the theme issue 'Modelling that shaped the early COVID-19 pandemic response in the UK'.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Outbreaks / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0273

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Outbreaks / Pandemics / COVID-19 Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0273