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 t...

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Autor principal:	Baksun Sung
Formato:	article
Lenguaje:	EN
Publicado:	Korea Centers for Disease Control & Prevention 2021
Materias:	covid-19 mortality social vulnerability spatial analysis united states Special situations and conditions RC952-1245 Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/76b8b5f82cf444c88b603f9de93d868b
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spelling	oai:doaj.org-article:76b8b5f82cf444c88b603f9de93d868b2021-11-05T00:03:10ZA 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, 20202210-90992210-911010.24171/j.phrp.2020.0372https://doaj.org/article/76b8b5f82cf444c88b603f9de93d868b2021-06-01T00:00:00Zhttp://ophrp.org/upload/pdf/j-phrp-2020-0372.pdfhttps://doaj.org/toc/2210-9099https://doaj.org/toc/2210-9110Objectives 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.Baksun SungKorea Centers for Disease Control & Preventionarticlecovid-19mortalitysocial vulnerabilityspatial analysisunited statesSpecial situations and conditionsRC952-1245Infectious and parasitic diseasesRC109-216ENOsong Public Health and Research Perspectives, Vol 12, Iss 3, Pp 149-157 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	covid-19 mortality social vulnerability spatial analysis united states Special situations and conditions RC952-1245 Infectious and parasitic diseases RC109-216
spellingShingle	covid-19 mortality social vulnerability spatial analysis united states Special situations and conditions RC952-1245 Infectious and parasitic diseases RC109-216 Baksun Sung 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
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	article
author	Baksun Sung
author_facet	Baksun Sung
author_sort	Baksun Sung
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_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_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_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
publisher	Korea Centers for Disease Control & Prevention
publishDate	2021
url	https://doaj.org/article/76b8b5f82cf444c88b603f9de93d868b
work_keys_str_mv	AT baksunsung aspatialanalysisoftheassociationbetweensocialvulnerabilityandthecumulativenumberofconfirmeddeathsfromcovid19inunitedstatescountiesthroughnovember142020 AT baksunsung spatialanalysisoftheassociationbetweensocialvulnerabilityandthecumulativenumberofconfirmeddeathsfromcovid19inunitedstatescountiesthroughnovember142020
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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

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