Evidence map›Paper›PMID 42592594›Full record

ArticleVaccine: X2026

Trust in federal statistical agencies and vaccine uptake among U.S. adults.

Nathaniel J Maxey, Jemar R Bather, Taliyah S Griffin, Plamena P Powla, Felix M Pabon-Rodriguez

Abstract read
In one paragraph

Article in Vaccine: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nathaniel J MaxeyDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Jemar R BatherDepartment of Biostatistics, NYU School of Global Public Health, New York, NY, USA.
Taliyah S GriffinDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Plamena P PowlaDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
Felix M Pabon-RodriguezDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.

Funding

The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
NLM NIH HHS T15 LM012502
6 · The paper itself

Abstract

Background: In the United States (US), COVID-19 vaccination saved 3.2 million lives from 2020 to 2023, yet vaccine uptake remains a public health challenge. Seasonal influenza vaccination also remains an important public health priority because influenza contributes substantially to preventable morbidity and mortality each year. Examining the administration of COVID-19 and influenza vaccines provides an opportunity to understand the factors influencing vaccine uptake. Methods: Repeated cross-sectional data were obtained from the Household Pulse Survey. COVID-19 and influenza vaccine uptake were based on self-reported vaccination status since August 2024. Independent variables of interest were (1) trust in federal statistics, (2) confidence in the US Census Bureau, and (3) confidence in US statistical agencies. Weighted logistic regression quantified the association between trust measures and non-vaccine uptake, adjusting for sociodemographic factors. Results: Compared to those who trusted federal statistics, individuals who did not trust federal statistics had significantly higher odds of COVID-19 non-vaccine uptake (adjusted odds ratio [aOR]: 2.61, 95% CI: 2.05-3.32) and influenza non-vaccine uptake (aOR: 1.87, 95% CI: 1.58-2.21). Similarly, individuals with very little confidence in the U.S. Census Bureau (COVID-19: aOR: 2.16, 95% CI: 1.16-4.02; influenza: aOR: 2.67, 95% CI: 1.74-4.10) or U.S. statistical agencies (COVID-19: aOR: 2.28, 95% CI: 1.52-3.43; influenza: aOR: 1.86, 95% CI: 1.35-2.57) exhibited a greater likelihood of non-vaccine uptake. Conclusion: Distrust in federal statistical agencies was associated with lower COVID-19 and influenza vaccine uptake, highlighting the importance of institutional trust in vaccination behavior. Unlike prior studies focused on trust in healthcare systems or government broadly, this study specifically identifies trust in federal statistical agencies as a factor associated with vaccine decision-making. Future longitudinal and mixed-methods research should examine how institutional trust develops over time and whether communication and transparency-focused interventions can improve vaccine uptake and public confidence in health information.

Indexed as

COVID-19Influenza vaccinationSurveyVaccinationVaccine uptakeWeighted logistic regression

Identifiers

PMID42592594
PMCPMC13464462

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.