Relative contribution of essential and non-essential activities to SARS-CoV-2 transmission following the lifting of public health restrictions in England and Wales.

COVID-19 Coronavirus infectious disease epidemiology public health respiratory infections

Journal

Epidemiology and infection
ISSN: 1469-4409
Titre abrégé: Epidemiol Infect
Pays: England
ID NLM: 8703737

Informations de publication

Date de publication:
07 12 2022
Historique:
pubmed: 8 12 2022
medline: 10 1 2023
entrez: 7 12 2022
Statut: epublish

Résumé

We aimed to understand which non-household activities increased infection odds and contributed greatest to SARS-CoV-2 infections following the lifting of public health restrictions in England and Wales. We undertook multivariable logistic regressions assessing the contribution to infections of activities reported by adult Virus Watch Community Cohort Study participants. We calculated adjusted weighted population attributable fractions (aPAF) estimating which activity contributed greatest to infections. Among 11 413 participants (493 infections), infection was associated with: leaving home for work (aOR 1.35 (1.11-1.64), aPAF 17%), public transport (aOR 1.27 (1.04-1.57), aPAF 12%), shopping once (aOR 1.83 (1.36-2.45)) Essential activities (work and public transport) carried the greatest risk and were the dominant contributors to infections. Non-essential indoor activities (hospitality and leisure) increased risk but contributed less. Outdoor activities carried no statistical risk and contributed to fewer infections. As countries aim to 'live with COVID', mitigating transmission in essential and indoor venues becomes increasingly relevant.

Identifiants

pubmed: 36475452
doi: 10.1017/S0950268822001832
pii: S0950268822001832
pmc: PMC9990391
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3

Subventions

Organisme : Medical Research Council
ID : MC_PC 19070
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206602
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V028375/1
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N013867/1
Pays : United Kingdom

Références

BMC Med. 2021 Oct 14;19(1):271
pubmed: 34649541
Occup Environ Med. 2022 Jul;79(7):433-441
pubmed: 34965981
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pubmed: 33945929
BMJ Open. 2021 Jun 23;11(6):e048042
pubmed: 34162651
Nat Rev Microbiol. 2021 Aug;19(8):528-545
pubmed: 33753932
J Transp Health. 2022 Sep;26:101356
pubmed: 35261878

Auteurs

Susan Hoskins (S)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Sarah Beale (S)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

Vincent Nguyen (V)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

Yamina Boukari (Y)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Alexei Yavlinsky (A)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Jana Kovar (J)

Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

Thomas Byrne (T)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Ellen Fragaszy (E)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Wing Lam Erica Fong (WLE)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Cyril Geismar (C)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

Parth Patel (P)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Annalan M D Navaratnam (AMD)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

Martie van Tongeren (M)

Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, Greater Manchester, UK.

Anne M Johnson (AM)

Institute for Global Health, University College London, London, WC1N 1EH, UK.

Robert W Aldridge (RW)

Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.

Andrew Hayward (A)

Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.

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Classifications MeSH