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Relative contribution of essential and non-essential activities to SARS-CoV-2 transmission following the lifting of public health restrictions in England and Wales.
Hoskins, Susan; Beale, Sarah; Nguyen, Vincent; Boukari, Yamina; Yavlinsky, Alexei; Kovar, Jana; Byrne, Thomas; Fragaszy, Ellen; Fong, Wing Lam Erica; Geismar, Cyril; Patel, Parth; Navaratnam, Annalan M D; van Tongeren, Martie; Johnson, Anne M; Aldridge, Robert W; Hayward, Andrew.
Afiliación
  • Hoskins S; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Beale S; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Nguyen V; Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.
  • Boukari Y; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Yavlinsky A; Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.
  • Kovar J; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Byrne T; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Fragaszy E; Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.
  • Fong WLE; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Geismar C; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Patel P; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
  • Navaratnam AMD; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • van Tongeren M; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Johnson AM; Institute of Epidemiology and Health Care, University College London, London, WC1E 7HB, UK.
  • Aldridge RW; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
  • Hayward A; Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, NW1 2DA, UK.
Epidemiol Infect ; 151: e3, 2022 12 07.
Article en En | MEDLINE | ID: mdl-36475452
PURPOSE: 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. PROCEDURES: 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. FINDINGS: 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)) vs. more than three times a week, indoor leisure (aOR 1.24 (1.02-1.51), aPAF 10%) and indoor hospitality (aOR 1.21 (0.98-1.48), aPAF 7%). We found no association for outdoor hospitality (1.14 (0.94-1.39), aPAF 5%) or outdoor leisure (1.14 (0.82-1.59), aPAF 1%). CONCLUSION: 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Adult / Humans País/Región como asunto: Europa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Límite: Adult / Humans País/Región como asunto: Europa Idioma: En Revista: Epidemiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido