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Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico

BACKGROUND: The World Health Organization stated a pandemic by severe acute respiratory syndrome coronavirus SARS-Cov2 (COVID-19) on March, 2020 with devastating implications for populations, healthcare systems, and economies globally. OBJECTIVE: The present study explores the association between pa...

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Autores principales: Ríos, Viridiana, Denova-Gutiérrez, Edgar, Barquera, Simón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863291/
https://www.ncbi.nlm.nih.gov/pubmed/35192660
http://dx.doi.org/10.1371/journal.pone.0264137
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author Ríos, Viridiana
Denova-Gutiérrez, Edgar
Barquera, Simón
author_facet Ríos, Viridiana
Denova-Gutiérrez, Edgar
Barquera, Simón
author_sort Ríos, Viridiana
collection PubMed
description BACKGROUND: The World Health Organization stated a pandemic by severe acute respiratory syndrome coronavirus SARS-Cov2 (COVID-19) on March, 2020 with devastating implications for populations, healthcare systems, and economies globally. OBJECTIVE: The present study explores the association between patients living in municipalities with crowding conditions and poverty and mortality from COVID-19 in Mexico; specifically evaluating the socioeconomic characteristics of the municipality in which the patients reside and some individual characteristics. METHODS: In the present study, we examined public information collected from the National Epidemiological Surveillance System informing all persons tested for SARS-CoV-2 and published by the Ministry of Health. The present analysis was restricted to those with the date of registration to October 12, 2021. The association between the main exposures (overcrowded conditions and poverty) and the outcomes of interest (death by COVID-19) was explored using Cox proportional hazard regression models, including frailty penalties to accommodate multilevel data and random effects for the municipality of case occurrence. RESULTS: A total of 9619917 subjects were included in the Epidemiological Surveillance System for viral respiratory disease platform. Of those for which results were available, 6141403 were negative for COVID-19 and 3478514 were positive for COVID-19; with a total of 273216 deaths in those who tested positive. Among those positive to COVID-19 mean age was 46.9. Patients living in municipalities with high rates of crowding conditions increased the risk of dying from COVID-19 by 8% (95% CI: 1.03, 1.14). Individuals living in municipalities with indigenous background was associated with an increased risk of dying from COVID-19 (HR = 1.10; 95% CI: 1.04, 1.17). Individuals living in municipalities with illiteracy (HR = 1.09; 95% CI: 1.03, 1.11), poverty (HR = 1.17; 95% CI: 1.14, 1.19), food insecurity (HR = 1.094; 95% CI 1.02, 1.06), limited access to social security (HR = 1.10; 95% CI: 1.08, 1.13) and health services (HR = 1.06; 95% CI: 1.04, 1.08) had a higher risk of mortality from COVID-19. CONCLUSION: Our data suggest that patients living in municipalities with higher rates of crowding conditions and higher rates of poverty had elevated risk of mortality from COVID-19. In Mexico, the COVID-19 pandemic is a systemic crisis linked to human development since we have seen that it affects less developed and more vulnerable municipalities. Policies to reduce vulnerabilities and develop strategies to deal with health crises like the current one needs to be considered.
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spelling pubmed-88632912022-02-23 Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico Ríos, Viridiana Denova-Gutiérrez, Edgar Barquera, Simón PLoS One Research Article BACKGROUND: The World Health Organization stated a pandemic by severe acute respiratory syndrome coronavirus SARS-Cov2 (COVID-19) on March, 2020 with devastating implications for populations, healthcare systems, and economies globally. OBJECTIVE: The present study explores the association between patients living in municipalities with crowding conditions and poverty and mortality from COVID-19 in Mexico; specifically evaluating the socioeconomic characteristics of the municipality in which the patients reside and some individual characteristics. METHODS: In the present study, we examined public information collected from the National Epidemiological Surveillance System informing all persons tested for SARS-CoV-2 and published by the Ministry of Health. The present analysis was restricted to those with the date of registration to October 12, 2021. The association between the main exposures (overcrowded conditions and poverty) and the outcomes of interest (death by COVID-19) was explored using Cox proportional hazard regression models, including frailty penalties to accommodate multilevel data and random effects for the municipality of case occurrence. RESULTS: A total of 9619917 subjects were included in the Epidemiological Surveillance System for viral respiratory disease platform. Of those for which results were available, 6141403 were negative for COVID-19 and 3478514 were positive for COVID-19; with a total of 273216 deaths in those who tested positive. Among those positive to COVID-19 mean age was 46.9. Patients living in municipalities with high rates of crowding conditions increased the risk of dying from COVID-19 by 8% (95% CI: 1.03, 1.14). Individuals living in municipalities with indigenous background was associated with an increased risk of dying from COVID-19 (HR = 1.10; 95% CI: 1.04, 1.17). Individuals living in municipalities with illiteracy (HR = 1.09; 95% CI: 1.03, 1.11), poverty (HR = 1.17; 95% CI: 1.14, 1.19), food insecurity (HR = 1.094; 95% CI 1.02, 1.06), limited access to social security (HR = 1.10; 95% CI: 1.08, 1.13) and health services (HR = 1.06; 95% CI: 1.04, 1.08) had a higher risk of mortality from COVID-19. CONCLUSION: Our data suggest that patients living in municipalities with higher rates of crowding conditions and higher rates of poverty had elevated risk of mortality from COVID-19. In Mexico, the COVID-19 pandemic is a systemic crisis linked to human development since we have seen that it affects less developed and more vulnerable municipalities. Policies to reduce vulnerabilities and develop strategies to deal with health crises like the current one needs to be considered. Public Library of Science 2022-02-22 /pmc/articles/PMC8863291/ /pubmed/35192660 http://dx.doi.org/10.1371/journal.pone.0264137 Text en © 2022 Ríos et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ríos, Viridiana
Denova-Gutiérrez, Edgar
Barquera, Simón
Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title_full Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title_fullStr Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title_full_unstemmed Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title_short Association between living in municipalities with high crowding conditions and poverty and mortality from COVID-19 in Mexico
title_sort association between living in municipalities with high crowding conditions and poverty and mortality from covid-19 in mexico
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863291/
https://www.ncbi.nlm.nih.gov/pubmed/35192660
http://dx.doi.org/10.1371/journal.pone.0264137
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