Evidence map›Paper›PMID 35953322›Full record

ArticleVaccine2022

COVID-19 vaccine hesitancy cannot fully explain disparities in vaccination coverage across the contiguous United States.

Songhua Hu, Chenfeng Xiong, Qingchen Li, Zitong Wang, Yuan Jiang

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Racial and ethnic disparities in COVID-19 vaccination: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025
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  17. Analysis of COVID-19 Case Demographics and Disease Outcomes in Gary, Indiana.International journal of environmental research and public health · 2023
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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

5 authors at 2 institutions in 1 country.

Songhua HuMaryland Transportation Institute (MTI), Department of Civil and Environmental Engineering, University of Maryland, College Park, MD 20742, United States.
Chenfeng XiongDepartment of Civil and Environmental Engineering, Villanova University, PA 19085, USA. Electronic address: chenfeng.xiong@villanova.edu.
Qingchen LiDepartment of Civil and Environmental Engineering, Villanova University, PA 19085, USA.
Zitong WangDepartment of Civil and Environmental Engineering, Villanova University, PA 19085, USA.
Yuan JiangDepartment of Planning, Chengdu Institute of Planning & Design, Chengdu, China.
Villanova University · USUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine hesitancy has been identified as a major obstacle preventing comprehensive coverage against the COVID-19 pandemic. However, few studies have analyzed the association between ex-ante vaccine hesitancy and ex-post vaccination coverage. This study leveraged one-year county-level data across the contiguous United States to examine whether the prospective vaccine hesitancy eventually translates into differential vaccination rates, and whether vaccine hesitancy can explain socioeconomic, racial, and partisan disparities in vaccine uptake. A set of structural equation modeling was fitted with vaccine hesitancy and vaccination rate as endogenous variables, controlling for various potential confounders. The results demonstrated a significant negative link between vaccine hesitancy and vaccination rate, with the difference between the two continuously widening over time. Counties with higher socioeconomic statuses, more Asian and Hispanic populations, more elderly residents, greater health insurance coverage, and more Democrats presented lower vaccine hesitancy and higher vaccination rates. However, underlying determinants of vaccination coverage and vaccine hesitancy were divergent regarding their different associations with exogenous variables. Mediation analysis further demonstrated that indirect effects from exogenous variables to vaccination coverage via vaccine hesitancy only partially explained corresponding total effects, challenging the popular narrative that portrays vaccine hesitancy as a root cause of disparities in vaccination. Our study highlights the need of well-funded, targeted, and ongoing initiatives to reduce persisting vaccination inequities.

Indexed as

COVID-19Vaccination CoverageAgedCOVID-19 VaccinesHumansPandemicsUnited StatesVaccinationVaccination HesitancyCOVID-19 VaccinesCOVID-19DisparitySocial vulnerabilityStructural equation modelingVaccination coverageVaccine hesitancy

Identifiers

PMID35953322
PMCPMC9359480
OpenAlexW4291397629

What OpenQuestion holds

Textmetadata
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.