ArticleThe Lancet regional health. Western Pacific2022
Identification of optimum combinations of media channels for approaching COVID-19 vaccine unsure and unwilling groups in Japan.
Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Media Exposure and Its Association With Vaccine Attitudes, Intentions, and Hesitancy: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Article
- Understanding COVID-19 Vaccine Hesitancy among the General Population in Japan from Public Health Ethical Perspectives: Findings from a Narrative Review.Asian bioethics review · 2025Article
- Comparative analysis of the role of healthcare beliefs on childhood vaccination uptake among parents in Malaysia and Singapore during the COVID-19 pandemic.Frontiers in public health · 2025Article
- Factors influencing parental COVID-19 vaccination willingness for children in Japan.Vaccine: X · 2024Article
- Current Use and Discrepancies in the Adoption of Health-Related Internet of Things and Apps Among Working Women in Japan: Large-Scale, Internet-Based, Cross-Sectional Survey.JMIR public health and surveillance · 2024Article
- Article
- Correlates of COVID-19 conspiracy theory beliefs in Japan: A cross-sectional study of 28,175 residents.PloS one · 2024Article
- COVID-19 Vaccine-Related Information on the WeChat Public Platform: Topic Modeling and Content Analysis.Journal of medical Internet research · 2023Article
- Article
- Preventive Behaviors and Information Sources during COVID-19 Pandemic: A Cross-Sectional Study in Japan.International journal of environmental research and public health · 2022Article
- We are on time.The Lancet regional health. Western Pacific · 2022Article
- COVID-19 vaccine hesitancy and media channel use in Japan: could media campaigns be a possible solution?The Lancet regional health. Western Pacific · 2022Article
- Predicting vaccine hesitancy among parents towards COVID-19 vaccination for their children in Singapore.Frontiers in pediatrics · 2022Article
- COVID-19 Vaccination Willingness and Associated Factors in Japanese Primary Care Patients: A Cross-Sectional Study.Journal of primary care & community healthArticle
Corrections and comments
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Authors and funding
16 authors at 11 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOptimizing media campaigns for those who were unsure or unwilling to take coronavirus disease (COVID-19) vaccines is required urgently to effectively present public health messages aimed at increasing vaccination coverage. We propose a novel framework for selecting tailor-made media channels and their combinations for this task.
methodsAn online survey was conducted in Japan during February to March, 2021, with 30,053 participants. In addition to their sociodemographic characteristics, it asked the attitude toward vaccination and information sources (i.e., media channels) for COVID-19 issues. Multinomial logic regression was fitted to estimate the combinations of the media channels and their odds ratio (OR) associated with vaccination attitudes.
findingsThe proportion of respondents who were unsure or unwilling to take the vaccination was skewed toward younger generation: 58.1% were aged under 35, while 28.1% were 65 years or older. Media channels such as "
interpretationTo effectively approach COVID-19 vaccine unsure and unwilling groups, generation-specific online and offline media campaigns should be optimized to the type of vaccine attitude.
fundingFunded by the Ministry of Health, Labour and Welfare of Japan (H29-Gantaisaku-ippan-009) and the Japan Agency for Medical Research and Development (AMED) (JP20fk0108535).
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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.