Evidence map›Paper›PMID 42675088›Full record

ArticleNPJ vaccines2026

Vaccine acceptance in a future pandemic after COVID-19 and its decision drivers in Japan.

Junna Kawasaki, Masakaze Hamada, Masaki Machida, Ryo Komorizono, Mie Kobayashi-Ishihara, Naoko Fujita, Takahiro Tabuchi, Yuki Furuse

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Junna Kawasaki *Department of Infectious Disease Pathobiology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masakaze Hamada *Department of Microbiology and Infection; The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA); The University of Tokyo, Tokyo, Japan.
Masaki MachidaDepartment of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan.
Ryo KomorizonoDepartment of Microbiology and Infection; The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA); The University of Tokyo, Tokyo, Japan.
Mie Kobayashi-IshiharaDepartment of Microbiology and Infection; The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA); The University of Tokyo, Tokyo, Japan.
Naoko FujitaDepartment of Microbiology and Infection; The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA); The University of Tokyo, Tokyo, Japan.
Takahiro TabuchiDivision of Epidemiology, School of Public Health, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Yuki FuruseDepartment of Microbiology and Infection; The University of Tokyo Pandemic Preparedness, Infection and Advanced Research Center (UTOPIA); The University of Tokyo, Tokyo, Japan. furusey@g.ecc.u-tokyo.ac.jp.

Funding

Japan Agency for Medical Research and Development JP223fa627001, JP223fa627004, 23wm0125011Japan Society for the Promotion of Science JP21H04856, JP25H01079Japan Society for the Promotion of Science JP23K09693, 120248602Ministry of Health, Labour and Welfare 22JA1005, 22FA1001, 22FA1010, 23EA1001, 23FA1004, 24FA1020, 24LA1002
6 · The paper itself

Abstract

Vaccine hesitancy has long been recognized as a global health concern and has become an even greater challenge during and after the COVID-19 pandemic. Although extensive research has examined hesitancy toward COVID-19, how the general population would respond to vaccination in a future pandemic remains unclear. Furthermore, little is known about the conditions that may reduce hesitancy. In this study, we conducted a nationwide internet survey in Japan in 2024-2025 involving 28,000 participants to assess vaccination intentions in a hypothetical future pandemic, identify factors associated with vaccine hesitancy, and examine conditions that may increase willingness to be vaccinated. We analyzed associations between individual characteristics and vaccination intention using logistic regression and explored heterogeneity in prioritized factors to determine vaccination intention using unsupervised clustering analysis. We found that only 53.1% of respondents reported intending to be vaccinated in a future pandemic-a marked decline from observed COVID-19 vaccination coverage. Notably, 35.8% of individuals who were vaccinated during the COVID-19 pandemic expressed hesitancy. Vaccination intention was lower among adults aged 20-40 years, women, individuals with lower income or educational attainment, and those endorsing misinformation or conspiracy statements. Cluster analysis identified eight distinct groups with heterogeneous priority structures. Free vaccination and evidence from clinical trials were prioritized across all clusters, whereas the prioritization of trust in authorities, social influence, domestic vaccine production, and convenience varied substantially across clusters. Public intentions to vaccinate in a future pandemic are shaped by diverse perspectives and values. Tailored strategies and risk communication approaches that address these heterogeneous concerns may be critical to strengthening preparedness for future pandemics.

Identifiers

PMID42675088
PMCPMC13529798

What OpenQuestion holds

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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.