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Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study

Background: “Lockdowns” to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic.  However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar poli...

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Autores principales: Hoskins, Susan, Beale, Sarah, Nguyen, Vincent, Fragaszy, Ellen, Navaratnam, Annalan M.D., Smith, Colette, French, Clare, Kovar, Jana, Byrne, Thomas, Fong, Wing Lam Erica, Geismar, Cyril, Patel, Parth, Yavlinksy, Alexei, Johnson, Anne M., Aldridge, Robert W., Hayward, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975411/
https://www.ncbi.nlm.nih.gov/pubmed/36874571
http://dx.doi.org/10.12688/wellcomeopenres.17981.1
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author Hoskins, Susan
Beale, Sarah
Nguyen, Vincent
Fragaszy, Ellen
Navaratnam, Annalan M.D.
Smith, Colette
French, Clare
Kovar, Jana
Byrne, Thomas
Fong, Wing Lam Erica
Geismar, Cyril
Patel, Parth
Yavlinksy, Alexei
Johnson, Anne M.
Aldridge, Robert W.
Hayward, Andrew
author_facet Hoskins, Susan
Beale, Sarah
Nguyen, Vincent
Fragaszy, Ellen
Navaratnam, Annalan M.D.
Smith, Colette
French, Clare
Kovar, Jana
Byrne, Thomas
Fong, Wing Lam Erica
Geismar, Cyril
Patel, Parth
Yavlinksy, Alexei
Johnson, Anne M.
Aldridge, Robert W.
Hayward, Andrew
author_sort Hoskins, Susan
collection PubMed
description Background: “Lockdowns” to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic.  However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar policies for future pandemics.  Methods: Among Virus Watch household cohort participants we identified those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside the household.  Using survey activity data, we undertook multivariable logistic regressions assessing the contribution of activities on non-household infection risk.  We calculated adjusted population attributable fractions (APAF) to estimate which activity accounted for the greatest proportion of non-household infections during the pandemic’s second wave. Results: Among 10,858 adults, 18% of cases were likely due to household transmission.  Among 10,475 participants (household-acquired cases excluded), including 874 non-household-acquired infections, infection was associated with: leaving home for work or education (AOR 1.20 (1.02 – 1.42), APAF 6.9%); public transport (more than once per week AOR 1.82 (1.49 – 2.23), public transport APAF 12.42%); and shopping (more than once per week AOR 1.69 (1.29 – 2.21), shopping APAF 34.56%).  Other non-household activities were rare and not significantly associated with infection. Conclusions: During lockdown, going to work and using public or shared transport independently increased infection risk, however only a minority did these activities.  Most participants visited shops, accounting for one-third of non-household transmission.  Transmission in restricted hospitality and leisure settings was minimal suggesting these restrictions were effective.   If future respiratory infection pandemics emerge these findings highlight the value of working from home, using forms of transport that minimise exposure to others, minimising exposure to shops and restricting non-essential activities.
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spelling pubmed-99754112023-03-02 Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study Hoskins, Susan Beale, Sarah Nguyen, Vincent Fragaszy, Ellen Navaratnam, Annalan M.D. Smith, Colette French, Clare Kovar, Jana Byrne, Thomas Fong, Wing Lam Erica Geismar, Cyril Patel, Parth Yavlinksy, Alexei Johnson, Anne M. Aldridge, Robert W. Hayward, Andrew Wellcome Open Res Research Article Background: “Lockdowns” to control serious respiratory virus pandemics were widely used during the coronavirus disease 2019 (COVID-19) pandemic.  However, there is limited information to understand the settings in which most transmission occurs during lockdowns, to support refinement of similar policies for future pandemics.  Methods: Among Virus Watch household cohort participants we identified those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside the household.  Using survey activity data, we undertook multivariable logistic regressions assessing the contribution of activities on non-household infection risk.  We calculated adjusted population attributable fractions (APAF) to estimate which activity accounted for the greatest proportion of non-household infections during the pandemic’s second wave. Results: Among 10,858 adults, 18% of cases were likely due to household transmission.  Among 10,475 participants (household-acquired cases excluded), including 874 non-household-acquired infections, infection was associated with: leaving home for work or education (AOR 1.20 (1.02 – 1.42), APAF 6.9%); public transport (more than once per week AOR 1.82 (1.49 – 2.23), public transport APAF 12.42%); and shopping (more than once per week AOR 1.69 (1.29 – 2.21), shopping APAF 34.56%).  Other non-household activities were rare and not significantly associated with infection. Conclusions: During lockdown, going to work and using public or shared transport independently increased infection risk, however only a minority did these activities.  Most participants visited shops, accounting for one-third of non-household transmission.  Transmission in restricted hospitality and leisure settings was minimal suggesting these restrictions were effective.   If future respiratory infection pandemics emerge these findings highlight the value of working from home, using forms of transport that minimise exposure to others, minimising exposure to shops and restricting non-essential activities. F1000 Research Limited 2022-08-03 /pmc/articles/PMC9975411/ /pubmed/36874571 http://dx.doi.org/10.12688/wellcomeopenres.17981.1 Text en Copyright: © 2022 Hoskins S et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hoskins, Susan
Beale, Sarah
Nguyen, Vincent
Fragaszy, Ellen
Navaratnam, Annalan M.D.
Smith, Colette
French, Clare
Kovar, Jana
Byrne, Thomas
Fong, Wing Lam Erica
Geismar, Cyril
Patel, Parth
Yavlinksy, Alexei
Johnson, Anne M.
Aldridge, Robert W.
Hayward, Andrew
Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title_full Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title_fullStr Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title_full_unstemmed Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title_short Settings for non-household transmission of SARS-CoV-2 during the second lockdown in England and Wales – analysis of the Virus Watch household community cohort study
title_sort settings for non-household transmission of sars-cov-2 during the second lockdown in england and wales – analysis of the virus watch household community cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975411/
https://www.ncbi.nlm.nih.gov/pubmed/36874571
http://dx.doi.org/10.12688/wellcomeopenres.17981.1
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