ArticleBMC public health2025
Trust in official information as a key predictor of COVID-19 vaccine acceptance: evidence from a Czech longitudinal survey study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Media Exposure and Its Association With Vaccine Attitudes, Intentions, and Hesitancy: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Why do people trust (or mistrust) health organizations? A systematic review.International journal for equity in health · 2026Pooled it
- The Relationship Between COVID-19 Vaccine Regret, Distrust of the Healthcare System, and Future Vaccine Intentions.Journal of evaluation in clinical practice · 2026Article
- Investigating Parental Perception and Intentions Toward COVID-19 Vaccination for Children in Ras Al Khaimah.Health science reports · 2026Article
- From institutional trust to digital literacy: Socioeconomic and political determinants of COVID-19 vaccine hesitancy among Czech adults based on a national panel survey.Human vaccines & immunotherapeutics · 2025Article
- Building Vaccine Readiness for Future Pandemics: Insights from COVID-19 Vaccine Intent and Uptake.Vaccines · 2025Article
- Neural mechanisms of cognitive conflict: processing COVID-19 vaccine misinformation.Frontiers in neuroscience · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundCOVID-19 vaccine hesitancy (CVH) has become a critical public health issue, with attitudes toward vaccines emerging as a broader social issue. Public debates surrounding vaccines have expanded beyond health considerations to include issues of trust, misinformation, and societal values, making CVH a complex challenge that requires multifaceted solutions. Analyzing the various determinants of CVH is crucial for developing targeted strategies to improve vaccine acceptance in specific countries and to better prepare for future public health crises. However, no study to date has evaluated the determinants of CVH in a representative sample of the Czech population.
methodsA multiple hierarchical logistic regression was used to analyze the associations between various sociodemographic, trust and attitudinal factors with COVID-19 vaccine acceptance (CVA). The analysis utilized survey data from a representative longitudinal sample of the Czech population (N = 1,407).
resultsAfter controlling for all other factors, trust in official statements from the Ministry of Health was the strongest predictor of CVA, followed by prior positive attitudes toward COVID-19 vaccination (prior to vaccine availability) and older age. Lower trust in COVID-19 misinformation also predicted CVA, while lower interest in COVID-19 media content was associated with CVA. Higher income initially predicted CVA but lost statistical significance after controlling for other variables. Interestingly, education did not play a role in CVA.
conclusionCVH was primarily driven by distrust in government-provided information. Notably, vaccine refusers demonstrated a higher motivation to seek information on the topic, offering a promising opportunity for health policy interventions. Our findings suggest that strategies to reduce CVH should prioritize building trust in state institutions and effectively combating misinformation.
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Registered trials
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.