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Original Article
- 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
- Baksun Sung
- Osong Public Health Res Perspect. 2021;12(3):149-157. Published online June 2, 2021
- DOI: https://doi.org/10.24171/j.phrp.2020.0372
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- 4 Web of Science
- 5 Crossref
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Graphical Abstract
Abstract
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- 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. -
Citations
Citations to this article as recorded by
- Ecological comparison of six countries in two waves of COVID-19
Meiheng Liu, Leiyu Shi, Manfei Yang, Jun Jiao, Junyan Yang, Mengyuan Ma, Wanzhen Xie, Gang Sun
Frontiers in Public Health.2024;[Epub] CrossRef - Social vulnerability and COVID-19 in Maringá, Brazil
Matheus Pereira Libório, Oseias da Silva Martinuci, Patrícia Bernardes, Natália Cristina Alves Caetano Chav Krohling, Guilherme Castro, Henrique Leonardo Guerra, Eduardo Alcantara Ribeiro, Udelysses Janete Veltrini Fonzar, Ícaro da Costa Francisco
Spatial Information Research.2023; 31(1): 51. CrossRef - A county-level analysis of association between social vulnerability and COVID-19 cases in Khuzestan Province, Iran
Mahmoud Arvin, Shahram Bazrafkan, Parisa Beiki, Ayyoob Sharifi
International Journal of Disaster Risk Reduction.2023; 84: 103495. CrossRef - Global mapping of epidemic risk assessment toolkits: A scoping review for COVID-19 and future epidemics preparedness implications
Bach Xuan Tran, Long Hoang Nguyen, Linh Phuong Doan, Tham Thi Nguyen, Giang Thu Vu, Hoa Thi Do, Huong Thi Le, Carl A. Latkin, Cyrus S. H. Ho, Roger C. M. Ho, Md Nazirul Islam Sarker
PLOS ONE.2022; 17(9): e0272037. CrossRef - COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities
Victoria J McGowan, Clare Bambra
The Lancet Public Health.2022; 7(11): e966. CrossRef
- Ecological comparison of six countries in two waves of COVID-19
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