ArticleSSM - population health2022
Factors associated with the risk perception of COVID-19 infection and severe illness: A cross-sectional study in Japan.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk perception of severity or death from COVID-19: a systematic review of the factors associated.Frontiers in public health · 2025Pooled it
- The impact of COVID-19 infection experience on risk perception and preventive behaviour: a cohort study.Epidemiology and infection · 2026Article
- COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors.BMC public health · 2025Article
- Factors associated with parental literacy and hesitancy toward pediatric vaccination.BMC public health · 2025Article
- The perception of Covid-19 amongst vulnerable subgroups of the general population in Italy: insights from the qualitative study of the MOST project.BMC psychology · 2025Article
- Investigating Post-COVID-19 Risk Perception and Preventive Behaviour Among Individuals in Riyadh, Saudi Arabia.Cureus · 2025Article
- Can socioeconomic factors and the availability of medicinal plant resources influence people's perception of risk in relation to diseases?Journal of ethnobiology and ethnomedicine · 2025Article
- Tailoring dengue health communication: Survey-based strategies to reduce message fatigue across risk areas.PLoS neglected tropical diseases · 2025Article
- The causal relationship model of factors influencing COVID-19 preventive behaviors during the post-pandemic era and implications for health prevention strategies: a case of Bangkok City, Thailand.BMC infectious diseases · 2024Article
- Factors influencing parental COVID-19 vaccination willingness for children in Japan.Vaccine: X · 2024Article
- COVID-19 risk perceptions in Japan: a cross-sectional study.Scientific reports · 2024Article
- Risk perception of healthcare workers in the first wave of the COVID-19 pandemic in Brazil.Heliyon · 2024Article
- 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
- Relationship between Preventive Health Behavior, Optimistic Bias, Hypochondria, and Mass Psychology in Relation to the Coronavirus Pandemic among Young Adults in Korea.International journal of environmental research and public health · 2022Article
- Article
- Understanding Patients with COVID in the Isolation Rooms from the Perspective of Care: A Qualitative Study.Journal of multidisciplinary healthcare · 2022Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding COVID-19 risk perception may help inform public health messaging aimed at encouraging preventive measures and improving countermeasures against the pandemic. We conducted an online survey of 29,708 Japanese adults in February 2021 and estimated the associations between COVID-19 risk perception and a broad array of individual factors. Two logistic regressions were constructed to estimate factors associated with the risk perception of COVID-19 (defined as responding that one might become infected within the next 6 months), and of severe illness among those who responded that they might become infected (defined as responding that one would become severely ill). After adjusting for covariates, those with a higher perceived risk of the COVID-19 vaccine had higher odds of risk perception for both infection and severe illness. Interestingly, those with higher odds of risk perception of being infected were more likely to report obtaining their information from healthcare workers whereas those with lower odds were more likely to report obtaining their information from the Internet or the government; those with lower odds of risk perception of being severely ill were more likely to report obtaining their information from the Internet. The higher the trust level in the government as a COVID-19 information source, the lower the odds of both risk perception of being infected and becoming severely ill. The higher the trust levels in social networking services as a COVID-19 information source, the higher the odds of risk perception of becoming severely ill. Public health messaging should address the factors identified in our study.
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