Evidence map›Paper›PMID 37713775›Full record

ArticleSocial science & medicine (1982)2023

Explaining the U.S. rural disadvantage in COVID-19 case and death rates during the Delta-Omicron surge: The role of politics, vaccinations, population health, and social determinants.

Malia Jones, Mahima Bhattar, Emma Henning, Shannon M Monnat

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Rural and Urban Differences in the Trends in Supply of Home Care Workers From 2015 to 2024.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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  10. Review
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  17. U.S. Rural Population Health and Aging in the 2020s.The Public policy and aging report · 2025
    Review
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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

4 authors at 2 institutions in 1 country.

Malia JonesDepartment of Community & Environmental Sociology, University of Wisconsin-Madison, 1450 Linden Ave, Madison, WI, 53706, USA. Electronic address: malia.jones@wisc.edu.
Mahima BhattarDepartment of Community & Environmental Sociology, University of Wisconsin-Madison, 1450 Linden Ave, Madison, WI, 53706, USA.
Emma HenningDepartment of Community & Environmental Sociology, University of Wisconsin-Madison, 1450 Linden Ave, Madison, WI, 53706, USA.
Shannon M MonnatCenter for Policy Research, Lerner Center for Public Health Promotion and Population Health, Department of Sociology, Maxwell School of Citizenship & Public Affairs, Syracuse University, 426 Eggers Hall, Syracuse, NY, 13244, USA.
University of Wisconsin–Madison · USSyracuse University · US

Funding

Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Network on Life Course Health Dynamics and Disparities in 21st Century America RenewalR24AG045061 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, Sarah A. Burgard · 2014 to 2026
$5.2M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
CALIFORNIA CENTER FOR POPULATION TRAINING PROGRAMT32HD007545 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ, Megan M Sweeney · 2001 to 2026
$4.1M
Center for Aging and Policy Studies (CAPS) Core D: External Research Resources Support and Dissemination CoreP30AG066583 · NIA · SYRACUSE UNIVERSITY · PI MONTEZ, JENNIFER KARAS · 2020 to 2024
$2.1M
States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide among U.S. AdultsU01DA055972 · NIDA · SYRACUSE UNIVERSITY · PI MONNAT, SHANNON M · 2021 to 2025
$2.0M
Interdisciplinary Network on Rural Population Health and AgingR24AG065159 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI JENSEN, LEIF · 2019 to 2023
$1.9M
Estimating childhood infectious disease outbreak risk in the context of heterogeneous vaccine coverageK01AI132741 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI JONES, MALIA · 2018 to 2022
$501k
NIAID NIH HHS K01 AI132741NIA NIH HHS P30 AG066583NIA NIH HHS R24 AG045061NIA NIH HHS R24 AG065159NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NICHD NIH HHS T32 HD007545NIDA NIH HHS U01 DA055972
6 · The paper itself

Abstract

The Delta-Omicron wave of the COVID-19 pandemic (Wave 4) in the United States occurred in Fall of 2021 through Spring of 2022. Although vaccinations were widely available, this was the deadliest period to date in the U.S., and the toll was especially high in rural areas, exacerbating an existing rural mortality penalty. This paper uses county-level multilevel regression models and publicly available data for 47 U.S. states and the District of Columbia. We describe differences in COVID-19 case and mortality rates across the rural-urban continuum during Wave 4 of the COVID-19 pandemic. Using a progressive modeling approach, we evaluate the relative contribution of a range of explanatory factors for the rural disadvantage we observe, including: pre-pandemic population health composition, vaccination rates, political partisanship, socioeconomic composition, access to broadband internet rate, and primary care physicians per capita. Results show that rural counties had higher observed burdens of cases and deaths in Wave 4 compared to more urban counties. The most remote rural counties had Wave 4 COVID-19 mortality rates 52% higher than the most urban counties. Older age composition, worse pre-pandemic population health, lower vaccination rates, higher share of votes cast for Donald Trump in the 2020 Presidential election, and lower socioeconomic composition completely explained the rural disadvantage in reported COVID-19 case rates in Wave 4, and accounting for these factors reversed the observed rural disadvantage in COVID-19 mortality. In models of mortality rate, Trump vote share had the largest effect size, followed by the percentage of the population age 50 or older, the poverty rate, the pre-pandemic mortality rate, the share of residents with a 4-year college degree, and the vaccination rate. These findings add to a growing literature describing the disproportionate toll of the COVID-19 pandemic on rural America, highlighting the combined effect of multiple sources of rural disadvantage.

Indexed as

COVID-19Population HealthDistrict of ColumbiaHumansMiddle AgedPandemicsPoliticsRural PopulationSocial Determinants of HealthUnited StatesCOVID-19DemographyPartisanshipPopulation HealthRural HealthSocial Determinants of HealthVaccination

Identifiers

PMID37713775
PMCPMC10557078
OpenAlexW4385918366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.