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Overcrowded housing increases risk for COVID-19 mortality: an ecological study
OBJECTIVES: Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981184/ https://www.ncbi.nlm.nih.gov/pubmed/35382869 http://dx.doi.org/10.1186/s13104-022-06015-1 |
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author | Varshney, Karan Glodjo, Talia Adalbert, Jenna |
author_facet | Varshney, Karan Glodjo, Talia Adalbert, Jenna |
author_sort | Varshney, Karan |
collection | PubMed |
description | OBJECTIVES: Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding and risk of mortality from COVID-19, and this was done by performing bivariable and multivariable analyses using COVID-19 data from cities in Los Angeles County. RESULTS: Bivariate regression revealed that overcrowded households were positively associated with COVID-19 deaths (standardized β = 0.863, p < 0.001). COVID-19 case totals, people aged 60+, and the number of overcrowded households met conditions for inclusion in the backwards stepwise linear regression model. Analysis revealed all independent variables were positively associated with mortality rates, primarily for individuals 60 + (standardized β(1) = 0.375, p = 0.001), followed by overcrowded households (standardized β(2) = 0.346, p = 0.014), and total COVID-19 cases (standardized β(3) = 0.311, p < 0.001). Our findings highlight that residing in overcrowded households may be an important risk factor for COVID-19 mortality. Public health entities should consider this population when allocating resources for prevention and control of COVID-19 mortality and future disease outbreaks. |
format | Online Article Text |
id | pubmed-8981184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89811842022-04-05 Overcrowded housing increases risk for COVID-19 mortality: an ecological study Varshney, Karan Glodjo, Talia Adalbert, Jenna BMC Res Notes Research Note OBJECTIVES: Overcrowded housing is a sociodemographic variable associated with increased infection and mortality rates from communicable diseases. It is not well understood if this association exists for COVID-19. Our objective was hence to determine the association between household overcrowding and risk of mortality from COVID-19, and this was done by performing bivariable and multivariable analyses using COVID-19 data from cities in Los Angeles County. RESULTS: Bivariate regression revealed that overcrowded households were positively associated with COVID-19 deaths (standardized β = 0.863, p < 0.001). COVID-19 case totals, people aged 60+, and the number of overcrowded households met conditions for inclusion in the backwards stepwise linear regression model. Analysis revealed all independent variables were positively associated with mortality rates, primarily for individuals 60 + (standardized β(1) = 0.375, p = 0.001), followed by overcrowded households (standardized β(2) = 0.346, p = 0.014), and total COVID-19 cases (standardized β(3) = 0.311, p < 0.001). Our findings highlight that residing in overcrowded households may be an important risk factor for COVID-19 mortality. Public health entities should consider this population when allocating resources for prevention and control of COVID-19 mortality and future disease outbreaks. BioMed Central 2022-04-05 /pmc/articles/PMC8981184/ /pubmed/35382869 http://dx.doi.org/10.1186/s13104-022-06015-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Varshney, Karan Glodjo, Talia Adalbert, Jenna Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title | Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title_full | Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title_fullStr | Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title_full_unstemmed | Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title_short | Overcrowded housing increases risk for COVID-19 mortality: an ecological study |
title_sort | overcrowded housing increases risk for covid-19 mortality: an ecological study |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981184/ https://www.ncbi.nlm.nih.gov/pubmed/35382869 http://dx.doi.org/10.1186/s13104-022-06015-1 |
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