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Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales

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Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales. / Aldridge, Robert W; Pineo, Helen; Fragaszy, Ellen et al.
In: Wellcome Open Research, Vol. 6, 347, 15.12.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Aldridge, RW, Pineo, H, Fragaszy, E, Eyre, MT, Kovar, J, Nguyen, V, Beale, S, Byrne, T, Aryee, A, Smith, C, Devakumar, D, Taylor, J, Katikireddi, SV, Fong, WLE, Geismar, C, Patel, P, Shrotri, M, Braithwaite, I, Patni, N, Navaratnam, AMD, Johnson, AM & Hayward, A 2021, 'Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales', Wellcome Open Research, vol. 6, 347. https://doi.org/10.12688/wellcomeopenres.17308.1

APA

Aldridge, R. W., Pineo, H., Fragaszy, E., Eyre, M. T., Kovar, J., Nguyen, V., Beale, S., Byrne, T., Aryee, A., Smith, C., Devakumar, D., Taylor, J., Katikireddi, S. V., Fong, W. L. E., Geismar, C., Patel, P., Shrotri, M., Braithwaite, I., Patni, N., ... Hayward, A. (2021). Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales. Wellcome Open Research, 6, Article 347. https://doi.org/10.12688/wellcomeopenres.17308.1

Vancouver

Aldridge RW, Pineo H, Fragaszy E, Eyre MT, Kovar J, Nguyen V et al. Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales. Wellcome Open Research. 2021 Dec 15;6:347. doi: 10.12688/wellcomeopenres.17308.1

Author

Aldridge, Robert W ; Pineo, Helen ; Fragaszy, Ellen et al. / Household overcrowding and risk of SARS-CoV-2 : analysis of the Virus Watch prospective community cohort study in England and Wales. In: Wellcome Open Research. 2021 ; Vol. 6.

Bibtex

@article{ed62286d98934d81acd8e94753d430ce,
title = "Household overcrowding and risk of SARS-CoV-2: analysis of the Virus Watch prospective community cohort study in England and Wales",
abstract = "Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to examine the association between overcrowded households and SARS-CoV-2. Methods: The Virus Watch study is a household community cohort of acute respiratory infections in England and Wales. We calculated overcrowding using the measure of persons per room for each household. We considered two primary outcomes: PCR-confirmed positive SARS-CoV-2 antigen tests and laboratory-confirmed SARS-CoV-2 antibodies. We used mixed-effects logistic regression models that accounted for household structure to estimate the association between household overcrowding and SARS-CoV-2 infection. Results:26,367 participants were included in our analyses. The proportion of participants with a positive SARS-CoV-2 PCR result was highest in the overcrowded group (9.0%; 99/1,100) and lowest in the under-occupied group (4.2%; 980/23,196). In a mixed-effects logistic regression model, we found strong evidence of an increased odds of a positive PCR SARS-CoV-2 antigen result (odds ratio 2.45; 95% CI:1.43-4.19; p-value=0.001) and increased odds of a positive SARS-CoV-2 antibody result in individuals living in overcrowded houses (3.32; 95% CI:1.54-7.15; p-valueConclusion:Public health interventions to prevent and stop the spread of SARS-CoV-2 should consider the risk of infection for people living in overcrowded households and pay greater attention to reducing household transmission.",
keywords = "Overcrowding, Covid-19, Sars-cov-2",
author = "Aldridge, {Robert W} and Helen Pineo and Ellen Fragaszy and Eyre, {Max T} and Jana Kovar and Vincent Nguyen and Sarah Beale and Thomas Byrne and Anna Aryee and Colette Smith and Delan Devakumar and Jonathon Taylor and Katikireddi, {Srinivasa Vittal} and Fong, {Wing Lam Erica} and Cyril Geismar and Parth Patel and Madhumita Shrotri and Isobel Braithwaite and Nicholas Patni and Navaratnam, {Annalan M D} and Johnson, {Anne M} and Andrew Hayward",
year = "2021",
month = dec,
day = "15",
doi = "10.12688/wellcomeopenres.17308.1",
language = "English",
volume = "6",
journal = "Wellcome Open Research",
issn = "2398-502X",
publisher = "F1000 Research Ltd.",

}

RIS

TY - JOUR

T1 - Household overcrowding and risk of SARS-CoV-2

T2 - analysis of the Virus Watch prospective community cohort study in England and Wales

AU - Aldridge, Robert W

AU - Pineo, Helen

AU - Fragaszy, Ellen

AU - Eyre, Max T

AU - Kovar, Jana

AU - Nguyen, Vincent

AU - Beale, Sarah

AU - Byrne, Thomas

AU - Aryee, Anna

AU - Smith, Colette

AU - Devakumar, Delan

AU - Taylor, Jonathon

AU - Katikireddi, Srinivasa Vittal

AU - Fong, Wing Lam Erica

AU - Geismar, Cyril

AU - Patel, Parth

AU - Shrotri, Madhumita

AU - Braithwaite, Isobel

AU - Patni, Nicholas

AU - Navaratnam, Annalan M D

AU - Johnson, Anne M

AU - Hayward, Andrew

PY - 2021/12/15

Y1 - 2021/12/15

N2 - Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to examine the association between overcrowded households and SARS-CoV-2. Methods: The Virus Watch study is a household community cohort of acute respiratory infections in England and Wales. We calculated overcrowding using the measure of persons per room for each household. We considered two primary outcomes: PCR-confirmed positive SARS-CoV-2 antigen tests and laboratory-confirmed SARS-CoV-2 antibodies. We used mixed-effects logistic regression models that accounted for household structure to estimate the association between household overcrowding and SARS-CoV-2 infection. Results:26,367 participants were included in our analyses. The proportion of participants with a positive SARS-CoV-2 PCR result was highest in the overcrowded group (9.0%; 99/1,100) and lowest in the under-occupied group (4.2%; 980/23,196). In a mixed-effects logistic regression model, we found strong evidence of an increased odds of a positive PCR SARS-CoV-2 antigen result (odds ratio 2.45; 95% CI:1.43-4.19; p-value=0.001) and increased odds of a positive SARS-CoV-2 antibody result in individuals living in overcrowded houses (3.32; 95% CI:1.54-7.15; p-valueConclusion:Public health interventions to prevent and stop the spread of SARS-CoV-2 should consider the risk of infection for people living in overcrowded households and pay greater attention to reducing household transmission.

AB - Background: Household overcrowding is associated with increased risk of infectious diseases across contexts and countries. Limited data exist linking household overcrowding and risk of COVID-19. We used data collected from the Virus Watch cohort to examine the association between overcrowded households and SARS-CoV-2. Methods: The Virus Watch study is a household community cohort of acute respiratory infections in England and Wales. We calculated overcrowding using the measure of persons per room for each household. We considered two primary outcomes: PCR-confirmed positive SARS-CoV-2 antigen tests and laboratory-confirmed SARS-CoV-2 antibodies. We used mixed-effects logistic regression models that accounted for household structure to estimate the association between household overcrowding and SARS-CoV-2 infection. Results:26,367 participants were included in our analyses. The proportion of participants with a positive SARS-CoV-2 PCR result was highest in the overcrowded group (9.0%; 99/1,100) and lowest in the under-occupied group (4.2%; 980/23,196). In a mixed-effects logistic regression model, we found strong evidence of an increased odds of a positive PCR SARS-CoV-2 antigen result (odds ratio 2.45; 95% CI:1.43-4.19; p-value=0.001) and increased odds of a positive SARS-CoV-2 antibody result in individuals living in overcrowded houses (3.32; 95% CI:1.54-7.15; p-valueConclusion:Public health interventions to prevent and stop the spread of SARS-CoV-2 should consider the risk of infection for people living in overcrowded households and pay greater attention to reducing household transmission.

KW - Overcrowding

KW - Covid-19

KW - Sars-cov-2

U2 - 10.12688/wellcomeopenres.17308.1

DO - 10.12688/wellcomeopenres.17308.1

M3 - Journal article

VL - 6

JO - Wellcome Open Research

JF - Wellcome Open Research

SN - 2398-502X

M1 - 347

ER -