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Factors associated with the risk perception of COVID-19 infection and severe illness: A cross-sectional study in Japan.
Adachi, Megumi; Murakami, Michio; Yoneoka, Daisuke; Kawashima, Takayuki; Hashizume, Masahiro; Sakamoto, Haruka; Eguchi, Akifumi; Ghaznavi, Cyrus; Gilmour, Stuart; Kaneko, Satoshi; Kunishima, Hiroyuki; Maruyama-Sakurai, Keiko; Tanoue, Yuta; Yamamoto, Yoshiko; Miyata, Hiroaki; Nomura, Shuhei.
  • Adachi M; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
  • Murakami M; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yoneoka D; Division of Scientific Information and Public Policy, Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan.
  • Kawashima T; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
  • Hashizume M; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Sakamoto H; Tokyo Foundation for Policy Research, Tokyo, Japan.
  • Eguchi A; Infectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo, Japan.
  • Ghaznavi C; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
  • Gilmour S; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kaneko S; Department of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan.
  • Kunishima H; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Maruyama-Sakurai K; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tanoue Y; Tokyo Foundation for Policy Research, Tokyo, Japan.
  • Yamamoto Y; Department of Hygiene and Public Health, Tokyo Women's Medical University, Tokyo, Japan.
  • Miyata H; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
  • Nomura S; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
SSM Popul Health ; 18: 101105, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1805211
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: SSM Popul Health Year: 2022 Document Type: Article Affiliation country: J.ssmph.2022.101105

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: SSM Popul Health Year: 2022 Document Type: Article Affiliation country: J.ssmph.2022.101105