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Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina
As the COVID-19 pandemic moved beyond the initial heavily impacted and urbanized Northeast region of the United States, hotspots of cases in other urban areas ensued across the country in early 2020. In South Carolina, the spatial and temporal patterns were different, initially concentrating in smal...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857563/ https://www.ncbi.nlm.nih.gov/pubmed/33534870 http://dx.doi.org/10.1371/journal.pone.0246548 |
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author | Huang, Qian Jackson, Sarah Derakhshan, Sahar Lee, Logan Pham, Erika Jackson, Amber Cutter, Susan L. |
author_facet | Huang, Qian Jackson, Sarah Derakhshan, Sahar Lee, Logan Pham, Erika Jackson, Amber Cutter, Susan L. |
author_sort | Huang, Qian |
collection | PubMed |
description | As the COVID-19 pandemic moved beyond the initial heavily impacted and urbanized Northeast region of the United States, hotspots of cases in other urban areas ensued across the country in early 2020. In South Carolina, the spatial and temporal patterns were different, initially concentrating in small towns within metro counties, then diffusing to centralized urban areas and rural areas. When mitigation restrictions were relaxed, hotspots reappeared in the major cities. This paper examines the county-scale spatial and temporal patterns of confirmed cases of COVID-19 for South Carolina from March 1(st)—September 5(th), 2020. We first describe the initial diffusion of the new confirmed cases per week across the state, which remained under 2,000 cases until Memorial Day weekend (epi week 23) then dramatically increased, peaking in mid-July (epi week 29), and slowly declining thereafter. Second, we found significant differences in cases and deaths between urban and rural counties, partially related to the timing of the number of confirmed cases and deaths and the implementation of state and local mitigations. Third, we found that the case rates and mortality rates positively correlated with pre-existing social vulnerability. There was also a negative correlation between mortality rates and county resilience patterns, as expected, suggesting that counties with higher levels of inherent resilience had fewer deaths per 100,000 population. |
format | Online Article Text |
id | pubmed-7857563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78575632021-02-11 Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina Huang, Qian Jackson, Sarah Derakhshan, Sahar Lee, Logan Pham, Erika Jackson, Amber Cutter, Susan L. PLoS One Research Article As the COVID-19 pandemic moved beyond the initial heavily impacted and urbanized Northeast region of the United States, hotspots of cases in other urban areas ensued across the country in early 2020. In South Carolina, the spatial and temporal patterns were different, initially concentrating in small towns within metro counties, then diffusing to centralized urban areas and rural areas. When mitigation restrictions were relaxed, hotspots reappeared in the major cities. This paper examines the county-scale spatial and temporal patterns of confirmed cases of COVID-19 for South Carolina from March 1(st)—September 5(th), 2020. We first describe the initial diffusion of the new confirmed cases per week across the state, which remained under 2,000 cases until Memorial Day weekend (epi week 23) then dramatically increased, peaking in mid-July (epi week 29), and slowly declining thereafter. Second, we found significant differences in cases and deaths between urban and rural counties, partially related to the timing of the number of confirmed cases and deaths and the implementation of state and local mitigations. Third, we found that the case rates and mortality rates positively correlated with pre-existing social vulnerability. There was also a negative correlation between mortality rates and county resilience patterns, as expected, suggesting that counties with higher levels of inherent resilience had fewer deaths per 100,000 population. Public Library of Science 2021-02-03 /pmc/articles/PMC7857563/ /pubmed/33534870 http://dx.doi.org/10.1371/journal.pone.0246548 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Huang, Qian Jackson, Sarah Derakhshan, Sahar Lee, Logan Pham, Erika Jackson, Amber Cutter, Susan L. Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title | Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title_full | Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title_fullStr | Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title_full_unstemmed | Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title_short | Urban-rural differences in COVID-19 exposures and outcomes in the South: A preliminary analysis of South Carolina |
title_sort | urban-rural differences in covid-19 exposures and outcomes in the south: a preliminary analysis of south carolina |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857563/ https://www.ncbi.nlm.nih.gov/pubmed/33534870 http://dx.doi.org/10.1371/journal.pone.0246548 |
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