Associations between rurality and regional differences in sociodemographic factors and the 1918-20 influenza and 2020-21 COVID-19 pandemics in Missouri counties: An ecological study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 17 01 2023
accepted: 05 08 2023
medline: 1 9 2023
pubmed: 30 8 2023
entrez: 30 8 2023
Statut: epublish

Résumé

This study compares pandemic experiences of Missouri's 115 counties based on rurality and sociodemographic characteristics during the 1918-20 influenza and 2020-21 COVID-19 pandemics. The state's counties and overall population distribution have remained relatively stable over the last century, which enables identification of long-lasting pandemic attributes. Sociodemographic data available at the county level for both time periods were taken from U.S. census data and used to create clusters of similar counties. Counties were also grouped by rural status (RSU), including fully (100%) rural, semirural (1-49% living in urban areas), and urban (>50% of the population living in urban areas). Deaths from 1918 through 1920 were collated from the Missouri Digital Heritage database and COVID-19 cases and deaths were downloaded from the Missouri COVID-19 dashboard. Results from sociodemographic analyses indicate that, during both time periods, average farm value, proportion White, and literacy were the most important determinants of sociodemographic clusters. Furthermore, the Urban/Central and Southeastern regions experienced higher mortality during both pandemics than did the North and South. Analyses comparing county groups by rurality indicated that throughout the 1918-20 influenza pandemic, urban counties had the highest and rural had the lowest mortality rates. Early in the 2020-21 COVID-19 pandemic, urban counties saw the most extensive epidemic spread and highest mortality, but as the epidemic progressed, cumulative mortality became highest in semirural counties. Additional results highlight the greater effects both pandemics had on county groups with lower rates of education and a lower proportion of Whites in the population. This was especially true for the far southeastern counties of Missouri ("the Bootheel") during the COVID-19 pandemic. These results indicate that rural-urban and socioeconomic differences in health outcomes are long-standing problems that continue to be of significant importance, even though the overall quality of health care is substantially better in the 21st century.

Identifiants

pubmed: 37647267
doi: 10.1371/journal.pone.0290294
pii: PONE-D-23-00677
pmc: PMC10468050
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0290294

Informations de copyright

Copyright: © 2023 Sattenspiel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Lisa Sattenspiel (L)

Department of Anthropology, University of Missouri, Columbia, MO, United States of America.

Carolyn Orbann (C)

Department of Health Sciences, University of Missouri, Columbia, MO, United States of America.

Aaron Bogan (A)

Department of Health Sciences Research, Division of Biostatistics, Mayo Clinic, Scottsdale, AZ, United States of America.

Hailey Ramirez (H)

Bond Life Science Center, University of Missouri, Columbia, MO, United States of America.

Sean Pirrone (S)

School of Medicine, University of Missouri, Columbia, MO, United States of America.

Sushma Dahal (S)

School of Public Health, Georgia State University, Atlanta, GA, United States of America.

Jane A McElroy (JA)

Department of Family and Community Medicine, University of Missouri, Columbia, MO, United States of America.

Christopher K Wikle (CK)

Department of Statistics, University of Missouri, Columbia, MO, United States of America.

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