Evidence map›Paper›PMID 37647267›Full record

ArticlePloS one2023

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.

Lisa Sattenspiel, Carolyn Orbann, Aaron Bogan, Hailey Ramirez, Sean Pirrone, Sushma Dahal, Jane A McElroy, Christopher K Wikle

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Lisa SattenspielDepartment of Anthropology, University of Missouri, Columbia, MO, United States of America.
Carolyn OrbannDepartment of Health Sciences, University of Missouri, Columbia, MO, United States of America.ORCID 0000-0002-6762-995X
Aaron BoganDepartment of Health Sciences Research, Division of Biostatistics, Mayo Clinic, Scottsdale, AZ, United States of America.
Hailey RamirezBond Life Science Center, University of Missouri, Columbia, MO, United States of America.
Sean PirroneSchool of Medicine, University of Missouri, Columbia, MO, United States of America.
Sushma DahalSchool of Public Health, Georgia State University, Atlanta, GA, United States of America.
Jane A McElroyDepartment of Family and Community Medicine, University of Missouri, Columbia, MO, United States of America.ORCID 0000-0001-7518-747X
Christopher K WikleDepartment of Statistics, University of Missouri, Columbia, MO, United States of America.
University of Missouri · USGeorgia State University · USMayo Clinic in Arizona · USUniversity of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Influenza Pandemic, 1918-1919PandemicsRural PopulationAdultAgedFemaleGeographic LocationsHealthcare DisparitiesHealth Services AccessibilityHumansMaleMiddle AgedMissouriSociodemographic Factors

Identifiers

PMID37647267
PMCPMC10468050
OpenAlexW4386280525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.