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Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021

BACKGROUND: Following rapidly rising COVID-19 case numbers, England entered a national lockdown on 6 January 2021, with staged relaxations of restrictions from 8 March 2021 onwards. AIM: We characterise how the lockdown and subsequent easing of restrictions affected trends in SARS-CoV-2 infection pr...

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Autores principales: Eales, Oliver, Wang, Haowei, Haw, David, Ainslie, Kylie E. C., Walters, Caroline E., Atchison, Christina, Cooke, Graham, Barclay, Wendy, Ward, Helen, Darzi, Ara, Ashby, Deborah, Donnelly, Christl A., Elliott, Paul, Riley, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728904/
https://www.ncbi.nlm.nih.gov/pubmed/36417468
http://dx.doi.org/10.1371/journal.pcbi.1010724
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author Eales, Oliver
Wang, Haowei
Haw, David
Ainslie, Kylie E. C.
Walters, Caroline E.
Atchison, Christina
Cooke, Graham
Barclay, Wendy
Ward, Helen
Darzi, Ara
Ashby, Deborah
Donnelly, Christl A.
Elliott, Paul
Riley, Steven
author_facet Eales, Oliver
Wang, Haowei
Haw, David
Ainslie, Kylie E. C.
Walters, Caroline E.
Atchison, Christina
Cooke, Graham
Barclay, Wendy
Ward, Helen
Darzi, Ara
Ashby, Deborah
Donnelly, Christl A.
Elliott, Paul
Riley, Steven
author_sort Eales, Oliver
collection PubMed
description BACKGROUND: Following rapidly rising COVID-19 case numbers, England entered a national lockdown on 6 January 2021, with staged relaxations of restrictions from 8 March 2021 onwards. AIM: We characterise how the lockdown and subsequent easing of restrictions affected trends in SARS-CoV-2 infection prevalence. METHODS: On average, risk of infection is proportional to infection prevalence. The REal-time Assessment of Community Transmission-1 (REACT-1) study is a repeat cross-sectional study of over 98,000 people every round (rounds approximately monthly) that estimates infection prevalence in England. We used Bayesian P-splines to estimate prevalence and the time-varying reproduction number (R(t)) nationally, regionally and by age group from round 8 (beginning 6 January 2021) to round 13 (ending 12 July 2021) of REACT-1. As a comparator, a separate segmented-exponential model was used to quantify the impact on R(t) of each relaxation of restrictions. RESULTS: Following an initial plateau of 1.54% until mid-January, infection prevalence decreased until 13 May when it reached a minimum of 0.09%, before increasing until the end of the study to 0.76%. Following the first easing of restrictions, which included schools reopening, the reproduction number R(t) increased by 82% (55%, 108%), but then decreased by 61% (82%, 53%) at the second easing of restrictions, which was timed to match the Easter school holidays. Following further relaxations of restrictions, the observed R(t) increased steadily, though the increase due to these restrictions being relaxed was offset by the effects of vaccination and also affected by the rapid rise of Delta. There was a high degree of synchrony in the temporal patterns of prevalence between regions and age groups. CONCLUSION: High-resolution prevalence data fitted to P-splines allowed us to show that the lockdown was effective at reducing risk of infection with school holidays/closures playing a significant part.
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spelling pubmed-97289042022-12-08 Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021 Eales, Oliver Wang, Haowei Haw, David Ainslie, Kylie E. C. Walters, Caroline E. Atchison, Christina Cooke, Graham Barclay, Wendy Ward, Helen Darzi, Ara Ashby, Deborah Donnelly, Christl A. Elliott, Paul Riley, Steven PLoS Comput Biol Research Article BACKGROUND: Following rapidly rising COVID-19 case numbers, England entered a national lockdown on 6 January 2021, with staged relaxations of restrictions from 8 March 2021 onwards. AIM: We characterise how the lockdown and subsequent easing of restrictions affected trends in SARS-CoV-2 infection prevalence. METHODS: On average, risk of infection is proportional to infection prevalence. The REal-time Assessment of Community Transmission-1 (REACT-1) study is a repeat cross-sectional study of over 98,000 people every round (rounds approximately monthly) that estimates infection prevalence in England. We used Bayesian P-splines to estimate prevalence and the time-varying reproduction number (R(t)) nationally, regionally and by age group from round 8 (beginning 6 January 2021) to round 13 (ending 12 July 2021) of REACT-1. As a comparator, a separate segmented-exponential model was used to quantify the impact on R(t) of each relaxation of restrictions. RESULTS: Following an initial plateau of 1.54% until mid-January, infection prevalence decreased until 13 May when it reached a minimum of 0.09%, before increasing until the end of the study to 0.76%. Following the first easing of restrictions, which included schools reopening, the reproduction number R(t) increased by 82% (55%, 108%), but then decreased by 61% (82%, 53%) at the second easing of restrictions, which was timed to match the Easter school holidays. Following further relaxations of restrictions, the observed R(t) increased steadily, though the increase due to these restrictions being relaxed was offset by the effects of vaccination and also affected by the rapid rise of Delta. There was a high degree of synchrony in the temporal patterns of prevalence between regions and age groups. CONCLUSION: High-resolution prevalence data fitted to P-splines allowed us to show that the lockdown was effective at reducing risk of infection with school holidays/closures playing a significant part. Public Library of Science 2022-11-23 /pmc/articles/PMC9728904/ /pubmed/36417468 http://dx.doi.org/10.1371/journal.pcbi.1010724 Text en © 2022 Eales et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eales, Oliver
Wang, Haowei
Haw, David
Ainslie, Kylie E. C.
Walters, Caroline E.
Atchison, Christina
Cooke, Graham
Barclay, Wendy
Ward, Helen
Darzi, Ara
Ashby, Deborah
Donnelly, Christl A.
Elliott, Paul
Riley, Steven
Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title_full Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title_fullStr Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title_full_unstemmed Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title_short Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021
title_sort trends in sars-cov-2 infection prevalence during england’s roadmap out of lockdown, january to july 2021
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728904/
https://www.ncbi.nlm.nih.gov/pubmed/36417468
http://dx.doi.org/10.1371/journal.pcbi.1010724
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