Evidence map›Paper›PMID 42897547›Full record

ArticleBMC public health2026

Political polarization, educational attainment, and childhood vaccination coverage in the United States, 2014-2024: a cross-sectional study.

Wei Lin, Seyed M Mirsattari

Abstract read
In one paragraph

Article in BMC public health, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Wei LinDepartment of Neurologic Surgery, Mayo Clinic, Jacksonville, FL, 32224, USA. lin.wei@mayo.edu.ORCID http://orcid.org/0000-0003-2332-924X
Seyed M MirsattariDepartment of Neurology, Mayo Clinic, Jacksonville, FL, 32224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChildhood vaccination coverage in the United States has declined in recent years, raising concern about the reemergence of vaccine-preventable diseases. We examined whether state-level political partisanship was associated with routine childhood vaccination coverage after adjustment for socioeconomic factors from 2014 to 2024.

methodsWe conducted a cross-sectional ecological study using publicly available state-level panel data from 50 states and the District of Columbia from 2014 to 2024. The analytic panel included 561 state-year observations. The primary outcome was measles-mumps-rubella coverage; secondary outcomes were diphtheria-tetanus-acellular pertussis, poliovirus, and hepatitis B coverage. Multivariable ordinary least squares regression with year fixed effects, Welch t tests, analysis of variance, and interaction models were used. Data were analyzed in March 2026. Sensitivity analyses included two-way (state and year) fixed-effects specifications, persistence-classification subset models (states with consistent presidential vote outcomes across multiple elections), and county-level analyses.

resultsBlue states had higher mean measles-mumps-rubella (MMR) vaccination coverage than red states (89.69% vs. 87.34%), a difference of 2.35% points (P<.001). In adjusted analyses with racial composition included as a covariate, higher Republican presidential vote share was associated with lower MMR vaccination coverage (b=-10.90; 95% CI=-16.69, -5.10; P<.001; n = 406 state-year observations). Every 10-percentage-point increase in Republican vote share corresponded to approximately 1.09%-point lower MMR vaccination coverage. Political-educational strata differed in coverage (analysis of variance P<.001), and the political association did not strengthen over time (interaction P=.38). Persistence-based sensitivity analyses among states with consistent presidential vote outcomes across four elections (2012-2024) and three elections (2016-2024) yielded strengthened associations (b=-14.30, P<.001, n = 326; and b=-13.17, P<.001, n = 350, respectively). Within-state county-level analyses (county fixed effects and state-stratified specifications) were directionally consistent with the state-level finding (n = 411 county-year observations from a 2023 cross-section across four states).

conclusionsState-level political context was associated with vaccination coverage after socioeconomic adjustment. Immunization surveillance, communication, and outreach strategies may benefit from accounting for undercoverage risk.

Indexed as

Educational StatusPoliticsVaccination CoverageCross-Sectional StudiesHumansMeasles-Mumps-Rubella VaccineUnited StatesMeasles-Mumps-Rubella VaccineChildhood vaccination coverageEcological studyEducational attainmentImmunization policyMeasles-mumps-rubellaPanel dataPolitical polarizationPublic health surveillanceUnited StatesVaccine hesitancy

Identifiers

PMID42897547
PMCPMC13679233

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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.