Evidence map›Paper›PMID 42842109›Full record

ArticleJournal of racial and ethnic health disparities2026

Racial, Socioeconomic, and Structural Determinants of Age-adjusted Excess COVID-19 Mortality Across U.S. Counties.

Elvin Khanjahani

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Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Elvin KhanjahaniDepartment of Health, Exercise and Applied Science, John G. Rangos Sr. School of Health Sciences, Duquesne University, Pittsburgh, PA, 15282, USA. khanijahania@duq.edu.ORCID http://orcid.org/0000-0002-0172-9421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine racial, socioeconomic, and structural disparities in age-adjusted excess COVID-19 mortality across U.S. counties and identify contextual factors associated with disproportionate mortality.

methodsCounty-level data from all 3,142 U.S. counties and the District of Columbia were assembled from ten national datasets. Age-adjusted excess COVID-19 mortality was calculated using national age-specific COVID-19 mortality rates. Data-driven variable selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by population-weighted linear regression with state-clustered standard errors.

resultsExcess mortality varied substantially across counties (mean 29.2 per 100,000; range - 593.4 to 879). Counties with larger Black populations, greater racial segregation, higher socioeconomic disadvantage, lower educational attainment, and higher uninsured prevalence experienced significantly greater excess mortality. Percentage of female-headed family households with no husband present (β = 0.38, 95% CI: 0.34-0.41) and Republican vote share (β = 0.22, 95% CI: 0.19-0.24) were positively associated with mortality, whereas remote work prevalence was inversely associated.

conclusionsRacial and structural inequities remain strongly associated with unequal mortality across U.S. communities. Addressing persistent inequities in education, healthcare access, neighborhood disadvantage, and economic opportunity may improve resilience to future pandemics and other population health threats.

Indexed as

COVID-19Ethnic health disparitiesRacial health disparitiesResidential segregationSocial determinants of healthStructural inequities

Identifiers

PMID42842109

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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.