ArticlePloS one2021
Examining the effect of information channel on COVID-19 vaccine acceptance.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
104 citing papers in PubMed, 4 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
- COVID-19 vaccine acceptance rate and its predictors in Ethiopia: A systematic review and meta-analysis.Human vaccines & immunotherapeutics · 2022Pooled it
- COVID-19 Vaccine Hesitancy in the United States: A Systematic Review.Frontiers in public health · 2021Pooled it
- Systematic Review and Meta-Analysis of COVID-19 Vaccination Acceptance.Frontiers in medicine · 2021Pooled it
- How the unvaccinated have been portrayed in the urban English-language Canadian popular press since the declared end of the COVID-19 pandemic emergency.Human vaccines & immunotherapeutics · 2026Article
- Does media channel matter? exploring the disparities of online and offline anti-tobacco messages and their impacts on e-cigarette harm perception and use.Substance abuse treatment, prevention, and policy · 2026Article
- Have you done your research? Information sources and trust as predictors of vaccine intentions and uptake during Australia's COVID-19 vaccination rollout.Australian journal of psychology · 2026Article
- Vaccine-related misinformation and attitude toward COVID-19 vaccination in Japan.Frontiers in public health · 2026Article
- Article
- COVID-19 vaccine attitudes and news consumption patterns among pregnant and postpartum individuals in an urban setting.Case reports in perinatal medicine · 2025Article
- Targeting anger for COVID-19 prevention: The motivating role of anger on media use and vaccination intention.PloS one · 2025Article
- Knowledge, attitudes and acceptance of COVID-19 vaccine among pregnant women in Mbeya Region.PLOS global public health · 2025Article
- Ethical Considerations in Infodemic Management: Systematic Scoping Review.JMIR infodemiology · 2024Article
- Exploring COVID-19 Vaccine Decision Making: Insights from 'One-Shot Wonders' and 'Booster Enthusiasts'.International journal of environmental research and public health · 2024Article
- COVID-19 Vaccine Hesitancy and Misinformation Endorsement among a Sample of Native Spanish-Speakers in the US: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2024Article
- Knowledge, attitude, and perception towards COVID-19 vaccinations among the adults in Rwanda: a cross-sectional study.BMC public health · 2024Article
- Vaccination homophily in ego contact networks during the COVID-19 pandemic.Scientific reports · 2024Article
- Determinants of COVID-19 vaccination intention in Central and Eastern Europe: A cross-sectional study in Poland, Romania, and Slovenia.Archives of public health = Archives belges de sante publique · 2024Article
- Newspaper Coverage of Hospitals During a Prolonged Health Crisis: Longitudinal Mixed Methods Study.JMIR public health and surveillance · 2024Article
- COVID-19 information seeking and individuals' protective behaviors: examining the role of information sources and information content.BMC public health · 2024Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hesitancy towards the COVID-19 vaccine remains high among the US population. Now that the vaccine is available to priority populations, it is critical to convince those that are hesitant to take the vaccine. Public health communication about the vaccine as well as misinformation on the vaccine occurs through a variety of different information channels. Some channels of information are more commonly found to spread misinformation. Given the expansive information environment, we sought to characterize the use of different media channels for COVID-19 vaccine information and determine the relationship between information channel and vaccine acceptance. We used quota sampling of vaccine priority groups [N = 2,650] between December 13 and 23, 2020 and conducted bivariate chi-squared tests and multivariable multinomial logistic regression analyses to determine the relative impact of channels of information on vaccine acceptance. We found traditional channels of information, especially National TV, National newspapers, and local newspapers increased the likelihood of vaccine acceptance. Individuals who received information from traditional media compared to social media or both traditional and social media were most likely to accept the vaccine. The implications of this study suggest social media channels have a role to play in educating the hesitant to accept the vaccine, while traditional media channels should continue to promote data-driven and informed vaccine content to their viewers.
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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.