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Household crowding hampers mitigating the transmission of SARS-CoV-2

INTRODUCTION: Household crowding deserves attention when evaluating the transmission intensity of SARS-CoV-2 in Brazil. We aimed to evaluate the association between household crowding and COVID-19 incidence. METHODS: Linear and Poisson regression analyses were used to assess the associations between...

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Autor principal: Villela, Daniel Antunes Maciel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Medicina Tropical - SBMT 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891563/
https://www.ncbi.nlm.nih.gov/pubmed/33605385
http://dx.doi.org/10.1590/0037-8682-0821-2020
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author Villela, Daniel Antunes Maciel
author_facet Villela, Daniel Antunes Maciel
author_sort Villela, Daniel Antunes Maciel
collection PubMed
description INTRODUCTION: Household crowding deserves attention when evaluating the transmission intensity of SARS-CoV-2 in Brazil. We aimed to evaluate the association between household crowding and COVID-19 incidence. METHODS: Linear and Poisson regression analyses were used to assess the associations between indices of household crowding (high, average, low) and COVID-19 incidence estimates. RESULTS: Cities with a high index of household crowding were linked with a significantly higher COVID-19 incidence estimate (excess of 461 per 100,000; 95% confidence interval: 371-558 per 100,000). CONCLUSIONS: Crowding typically promotes virus transmission. Considering urban and housing structures is essential in designing mitigation strategies during a pandemic.
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spelling pubmed-78915632021-02-19 Household crowding hampers mitigating the transmission of SARS-CoV-2 Villela, Daniel Antunes Maciel Rev Soc Bras Med Trop Short Communication INTRODUCTION: Household crowding deserves attention when evaluating the transmission intensity of SARS-CoV-2 in Brazil. We aimed to evaluate the association between household crowding and COVID-19 incidence. METHODS: Linear and Poisson regression analyses were used to assess the associations between indices of household crowding (high, average, low) and COVID-19 incidence estimates. RESULTS: Cities with a high index of household crowding were linked with a significantly higher COVID-19 incidence estimate (excess of 461 per 100,000; 95% confidence interval: 371-558 per 100,000). CONCLUSIONS: Crowding typically promotes virus transmission. Considering urban and housing structures is essential in designing mitigation strategies during a pandemic. Sociedade Brasileira de Medicina Tropical - SBMT 2021-02-10 /pmc/articles/PMC7891563/ /pubmed/33605385 http://dx.doi.org/10.1590/0037-8682-0821-2020 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Short Communication
Villela, Daniel Antunes Maciel
Household crowding hampers mitigating the transmission of SARS-CoV-2
title Household crowding hampers mitigating the transmission of SARS-CoV-2
title_full Household crowding hampers mitigating the transmission of SARS-CoV-2
title_fullStr Household crowding hampers mitigating the transmission of SARS-CoV-2
title_full_unstemmed Household crowding hampers mitigating the transmission of SARS-CoV-2
title_short Household crowding hampers mitigating the transmission of SARS-CoV-2
title_sort household crowding hampers mitigating the transmission of sars-cov-2
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891563/
https://www.ncbi.nlm.nih.gov/pubmed/33605385
http://dx.doi.org/10.1590/0037-8682-0821-2020
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