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Inferring risks of coronavirus transmission from community household data
The response of many governments to the COVID-19 pandemic has involved measures to control within- and between-household transmission, providing motivation to improve understanding of the absolute and relative risks in these contexts. Here, we perform exploratory, residual-based, and transmission-dy...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465559/ https://www.ncbi.nlm.nih.gov/pubmed/36112916 http://dx.doi.org/10.1177/09622802211055853 |
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author | House, Thomas Riley, Heather Pellis, Lorenzo Pouwels, Koen B Bacon, Sebastian Eidukas, Arturas Jahanshahi, Kaveh Eggo, Rosalind M Sarah Walker, A. |
author_facet | House, Thomas Riley, Heather Pellis, Lorenzo Pouwels, Koen B Bacon, Sebastian Eidukas, Arturas Jahanshahi, Kaveh Eggo, Rosalind M Sarah Walker, A. |
author_sort | House, Thomas |
collection | PubMed |
description | The response of many governments to the COVID-19 pandemic has involved measures to control within- and between-household transmission, providing motivation to improve understanding of the absolute and relative risks in these contexts. Here, we perform exploratory, residual-based, and transmission-dynamic household analysis of the Office for National Statistics COVID-19 Infection Survey data from 26 April 2020 to 15 July 2021 in England. This provides evidence for: (i) temporally varying rates of introduction of infection into households broadly following the trajectory of the overall epidemic and vaccination programme; (ii) susceptible-Infectious transmission probabilities of within-household transmission in the 15–35% range; (iii) the emergence of the Alpha and Delta variants, with the former being around 50% more infectious than wildtype and 35% less infectious than Delta within households; (iv) significantly (in the range of 25–300%) more risk of bringing infection into the household for workers in patient-facing roles pre-vaccine; (v) increased risk for secondary school-age children of bringing the infection into the household when schools are open; (vi) increased risk for primary school-age children of bringing the infection into the household when schools were open since the emergence of new variants. |
format | Online Article Text |
id | pubmed-9465559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94655592022-09-13 Inferring risks of coronavirus transmission from community household data House, Thomas Riley, Heather Pellis, Lorenzo Pouwels, Koen B Bacon, Sebastian Eidukas, Arturas Jahanshahi, Kaveh Eggo, Rosalind M Sarah Walker, A. Stat Methods Med Res Special Issue Articles The response of many governments to the COVID-19 pandemic has involved measures to control within- and between-household transmission, providing motivation to improve understanding of the absolute and relative risks in these contexts. Here, we perform exploratory, residual-based, and transmission-dynamic household analysis of the Office for National Statistics COVID-19 Infection Survey data from 26 April 2020 to 15 July 2021 in England. This provides evidence for: (i) temporally varying rates of introduction of infection into households broadly following the trajectory of the overall epidemic and vaccination programme; (ii) susceptible-Infectious transmission probabilities of within-household transmission in the 15–35% range; (iii) the emergence of the Alpha and Delta variants, with the former being around 50% more infectious than wildtype and 35% less infectious than Delta within households; (iv) significantly (in the range of 25–300%) more risk of bringing infection into the household for workers in patient-facing roles pre-vaccine; (v) increased risk for secondary school-age children of bringing the infection into the household when schools are open; (vi) increased risk for primary school-age children of bringing the infection into the household when schools were open since the emergence of new variants. SAGE Publications 2022-09-10 2022-09 /pmc/articles/PMC9465559/ /pubmed/36112916 http://dx.doi.org/10.1177/09622802211055853 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Issue Articles House, Thomas Riley, Heather Pellis, Lorenzo Pouwels, Koen B Bacon, Sebastian Eidukas, Arturas Jahanshahi, Kaveh Eggo, Rosalind M Sarah Walker, A. Inferring risks of coronavirus transmission from community household data |
title | Inferring risks of coronavirus transmission from community household
data |
title_full | Inferring risks of coronavirus transmission from community household
data |
title_fullStr | Inferring risks of coronavirus transmission from community household
data |
title_full_unstemmed | Inferring risks of coronavirus transmission from community household
data |
title_short | Inferring risks of coronavirus transmission from community household
data |
title_sort | inferring risks of coronavirus transmission from community household
data |
topic | Special Issue Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465559/ https://www.ncbi.nlm.nih.gov/pubmed/36112916 http://dx.doi.org/10.1177/09622802211055853 |
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