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A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020
OBJECTIVES: Coronavirus disease 2019 (COVID-19) is classified as a natural hazard, and social vulnerability describes the susceptibility of social groups to potential damages from natural hazards. Therefore, the objective of this study was to examine the association between social vulnerability and...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Disease Control and Prevention Agency
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256299/ https://www.ncbi.nlm.nih.gov/pubmed/34102048 http://dx.doi.org/10.24171/j.phrp.2020.0372 |
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author | Sung, Baksun |
author_facet | Sung, Baksun |
author_sort | Sung, Baksun |
collection | PubMed |
description | OBJECTIVES: Coronavirus disease 2019 (COVID-19) is classified as a natural hazard, and social vulnerability describes the susceptibility of social groups to potential damages from natural hazards. Therefore, the objective of this study was to examine the association between social vulnerability and the cumulative number of confirmed COVID-19 deaths (per 100,000) in 3,141 United States counties. METHODS: The cumulative number of COVID-19 deaths was obtained from USA Facts. Variables related to social vulnerability were obtained from the Centers for Disease Control and Prevention Social Vulnerability Index and the 2018 5-Year American Community Survey. Data were analyzed using spatial autoregression models. RESULTS: Lowest income and educational level, as well as high proportions of single parent households, mobile home residents, and people without health insurance were positively associated with a high cumulative number of COVID-19 deaths. CONCLUSION: In conclusion, there are regional differences in the cumulative number of COVID-19 deaths in United States counties, which are affected by various social vulnerabilities. Hence, these findings underscore the need to take social vulnerability into account when planning interventions to reduce COVID-19 deaths. |
format | Online Article Text |
id | pubmed-8256299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korea Disease Control and Prevention Agency |
record_format | MEDLINE/PubMed |
spelling | pubmed-82562992021-07-12 A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 Sung, Baksun Osong Public Health Res Perspect Original Article OBJECTIVES: Coronavirus disease 2019 (COVID-19) is classified as a natural hazard, and social vulnerability describes the susceptibility of social groups to potential damages from natural hazards. Therefore, the objective of this study was to examine the association between social vulnerability and the cumulative number of confirmed COVID-19 deaths (per 100,000) in 3,141 United States counties. METHODS: The cumulative number of COVID-19 deaths was obtained from USA Facts. Variables related to social vulnerability were obtained from the Centers for Disease Control and Prevention Social Vulnerability Index and the 2018 5-Year American Community Survey. Data were analyzed using spatial autoregression models. RESULTS: Lowest income and educational level, as well as high proportions of single parent households, mobile home residents, and people without health insurance were positively associated with a high cumulative number of COVID-19 deaths. CONCLUSION: In conclusion, there are regional differences in the cumulative number of COVID-19 deaths in United States counties, which are affected by various social vulnerabilities. Hence, these findings underscore the need to take social vulnerability into account when planning interventions to reduce COVID-19 deaths. Korea Disease Control and Prevention Agency 2021-06 2021-06-02 /pmc/articles/PMC8256299/ /pubmed/34102048 http://dx.doi.org/10.24171/j.phrp.2020.0372 Text en Copyright © 2021 by The Korea Disease Control and Prevention Agency https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sung, Baksun A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title | A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title_full | A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title_fullStr | A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title_full_unstemmed | A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title_short | A spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from COVID-19 in United States counties through November 14, 2020 |
title_sort | spatial analysis of the association between social vulnerability and the cumulative number of confirmed deaths from covid-19 in united states counties through november 14, 2020 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256299/ https://www.ncbi.nlm.nih.gov/pubmed/34102048 http://dx.doi.org/10.24171/j.phrp.2020.0372 |
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