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Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance

BACKGROUND: The COVID-19 pandemic is rapidly evolving, with emerging variants and fluctuating control policies. Real-time population screening and identification of groups in whom positivity is highest could help monitor spread and inform public health messaging and strategy. METHODS: To develop a r...

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Autores principales: Pritchard, Emma, Jones, Joel, Vihta, Karina-Doris, Stoesser, Nicole, Matthews, Prof Philippa C., Eyre, David W., House, Thomas, Bell, John I, Newton, Prof John N, Farrar, Jeremy, Crook, Prof Derrick, Hopkins, Susan, Cook, Duncan, Rourke, Emma, Studley, Ruth, Diamond, Prof Ian, Peto, Prof Tim, Pouwels, Koen B., Walker, Prof A. Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665900/
https://www.ncbi.nlm.nih.gov/pubmed/34927119
http://dx.doi.org/10.1016/j.lanepe.2021.100282
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author Pritchard, Emma
Jones, Joel
Vihta, Karina-Doris
Stoesser, Nicole
Matthews, Prof Philippa C.
Eyre, David W.
House, Thomas
Bell, John I
Newton, Prof John N
Farrar, Jeremy
Crook, Prof Derrick
Hopkins, Susan
Cook, Duncan
Rourke, Emma
Studley, Ruth
Diamond, Prof Ian
Peto, Prof Tim
Pouwels, Koen B.
Walker, Prof A. Sarah
author_facet Pritchard, Emma
Jones, Joel
Vihta, Karina-Doris
Stoesser, Nicole
Matthews, Prof Philippa C.
Eyre, David W.
House, Thomas
Bell, John I
Newton, Prof John N
Farrar, Jeremy
Crook, Prof Derrick
Hopkins, Susan
Cook, Duncan
Rourke, Emma
Studley, Ruth
Diamond, Prof Ian
Peto, Prof Tim
Pouwels, Koen B.
Walker, Prof A. Sarah
author_sort Pritchard, Emma
collection PubMed
description BACKGROUND: The COVID-19 pandemic is rapidly evolving, with emerging variants and fluctuating control policies. Real-time population screening and identification of groups in whom positivity is highest could help monitor spread and inform public health messaging and strategy. METHODS: To develop a real-time screening process, we included results from nose and throat swabs and questionnaires taken 19 July 2020-17 July 2021 in the UK's national COVID-19 Infection Survey. Fortnightly, associations between SARS-CoV-2 positivity and 60 demographic and behavioural characteristics were estimated using logistic regression models adjusted for potential confounders, considering multiple testing, collinearity, and reverse causality. FINDINGS: Of 4,091,537 RT-PCR results from 482,677 individuals, 29,903 (0·73%) were positive. As positivity rose September-November 2020, rates were independently higher in younger ages, and those living in Northern England, major urban conurbations, more deprived areas, and larger households. Rates were also higher in those returning from abroad, and working in healthcare or outside of home. When positivity peaked December 2020-January 2021 (Alpha), high positivity shifted to southern geographical regions. With national vaccine roll-out from December 2020, positivity reduced in vaccinated individuals. Associations attenuated as rates decreased between February-May 2021. Rising positivity rates in June-July 2021 (Delta) were independently higher in younger, male, and unvaccinated groups. Few factors were consistently associated with positivity. 25/45 (56%) confirmed associations would have been detected later using 28-day rather than 14-day periods. INTERPRETATION: Population-level demographic and behavioural surveillance can be a valuable tool in identifying the varying characteristics driving current SARS-CoV-2 positivity, allowing monitoring to inform public health policy. FUNDING: Department of Health and Social Care (UK), Welsh Government, Department of Health (on behalf of the Northern Ireland Government), Scottish Government, National Institute for Health Research.
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spelling pubmed-86659002021-12-14 Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance Pritchard, Emma Jones, Joel Vihta, Karina-Doris Stoesser, Nicole Matthews, Prof Philippa C. Eyre, David W. House, Thomas Bell, John I Newton, Prof John N Farrar, Jeremy Crook, Prof Derrick Hopkins, Susan Cook, Duncan Rourke, Emma Studley, Ruth Diamond, Prof Ian Peto, Prof Tim Pouwels, Koen B. Walker, Prof A. Sarah Lancet Reg Health Eur Article BACKGROUND: The COVID-19 pandemic is rapidly evolving, with emerging variants and fluctuating control policies. Real-time population screening and identification of groups in whom positivity is highest could help monitor spread and inform public health messaging and strategy. METHODS: To develop a real-time screening process, we included results from nose and throat swabs and questionnaires taken 19 July 2020-17 July 2021 in the UK's national COVID-19 Infection Survey. Fortnightly, associations between SARS-CoV-2 positivity and 60 demographic and behavioural characteristics were estimated using logistic regression models adjusted for potential confounders, considering multiple testing, collinearity, and reverse causality. FINDINGS: Of 4,091,537 RT-PCR results from 482,677 individuals, 29,903 (0·73%) were positive. As positivity rose September-November 2020, rates were independently higher in younger ages, and those living in Northern England, major urban conurbations, more deprived areas, and larger households. Rates were also higher in those returning from abroad, and working in healthcare or outside of home. When positivity peaked December 2020-January 2021 (Alpha), high positivity shifted to southern geographical regions. With national vaccine roll-out from December 2020, positivity reduced in vaccinated individuals. Associations attenuated as rates decreased between February-May 2021. Rising positivity rates in June-July 2021 (Delta) were independently higher in younger, male, and unvaccinated groups. Few factors were consistently associated with positivity. 25/45 (56%) confirmed associations would have been detected later using 28-day rather than 14-day periods. INTERPRETATION: Population-level demographic and behavioural surveillance can be a valuable tool in identifying the varying characteristics driving current SARS-CoV-2 positivity, allowing monitoring to inform public health policy. FUNDING: Department of Health and Social Care (UK), Welsh Government, Department of Health (on behalf of the Northern Ireland Government), Scottish Government, National Institute for Health Research. Elsevier 2021-12-12 /pmc/articles/PMC8665900/ /pubmed/34927119 http://dx.doi.org/10.1016/j.lanepe.2021.100282 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pritchard, Emma
Jones, Joel
Vihta, Karina-Doris
Stoesser, Nicole
Matthews, Prof Philippa C.
Eyre, David W.
House, Thomas
Bell, John I
Newton, Prof John N
Farrar, Jeremy
Crook, Prof Derrick
Hopkins, Susan
Cook, Duncan
Rourke, Emma
Studley, Ruth
Diamond, Prof Ian
Peto, Prof Tim
Pouwels, Koen B.
Walker, Prof A. Sarah
Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title_full Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title_fullStr Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title_full_unstemmed Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title_short Monitoring populations at increased risk for SARS-CoV-2 infection in the community using population-level demographic and behavioural surveillance
title_sort monitoring populations at increased risk for sars-cov-2 infection in the community using population-level demographic and behavioural surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665900/
https://www.ncbi.nlm.nih.gov/pubmed/34927119
http://dx.doi.org/10.1016/j.lanepe.2021.100282
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