Evidence map›Paper›PMID 41809729›Full record

ArticlePreventive medicine reports2026

COVID-19 vaccine uptake in US adults with respiratory diseases: A cross-sectional study.

Moosa Tatar, Shahryar Karimi, Masoud Valizadeh, Abhishek Deshpande

Abstract read
In one paragraph

Article in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Moosa TatarDepartment of Pharmaceutical Health Outcomes and Policy, University of Houston, Houston, TX, USA.
Shahryar KarimiDepartment of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA.
Masoud ValizadehOptions Clearing Corporation, Chicago, IL, USA.
Abhishek DeshpandeAlice L. Walton School of Medicine, Bentonville, AR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Despite their proven effectiveness, COVID-19 vaccination rates remain low, particularly among individuals with respiratory diseases. We aimed to examine factors associated with vaccine uptake, focusing on respiratory conditions and prior respiratory vaccination history. Methods: We conducted a cross-sectional analysis using 2022 data from the Medical Expenditure Panel Survey. We used logistic regression to examine the association between COVID-19 vaccine uptake and various socioeconomic factors, respiratory conditions, and prior influenza vaccination in US adults. Results: Of 18,155 participants, 3083 (16.98%) were unvaccinated and 15,072 (83.02%) vaccinated. Unvaccinated individuals were more likely younger, male, non-Hispanic Black, immigrants, lower-income, less educated, Southern residents, and smokers. Prior influenza (OR = 1.82, 95% CI [1.39, 2.42]) and pneumonia vaccination (OR = 2.55, 95% CI [2.14, 3.04]) were linked to higher COVID-19 vaccination. Among those with respiratory disease, prior influenza (OR = 1.78, 95% CI [1.05, 3.21]) and pneumonia vaccination (OR = 2.09, 95% CI [1.50, 2.94]) predicted greater uptake. The highest rates were in individuals vaccinated for both (OR = 4.79, 95% CI [2.51, 9.37]). Respiratory diseases themselves were not significant predictors. Conclusions: Prior vaccination history and socioeconomic status are stronger predictors of COVID-19 vaccine uptake than respiratory disease history. Enhancing routine immunization and reducing socioeconomic disparities may improve coverage better than disease-specific approaches.

Indexed as

COVID-19ImmunizationInfectious diseaseInfluenzaRespiratory diseaseVaccine hesitancy

Identifiers

PMID41809729
PMCPMC12969427

What OpenQuestion holds

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LicenceCC BY
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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.