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COVID-19 Risk Perceptions in Japan: A Cross Sectional Study

Author

Listed:
  • Asako Chiba

    (Tokyo Foundation for Policy Research)

  • Taisuke Nakata

    (Graduate School of Economics, University of Tokyo)

  • Thuy Linh Nguyen

    (Graduate School of Economics, University of Tokyo)

  • Reo Takaku

    (Graduate School of Economics, Hitotsubashi University)

Abstract

We conducted a large-scale online survey in February 2023 to investigate the perceptions of infection and fatality risks from COVID-19 in Japan. Univariate analysis comparing perceived and actual risk suggests prevalence of overestimation as well as non-negligible underestimation of COVID-19 risks in Japan. Multivariate logistic regression analysis reveals that age, income and educational levels, health status, information sources, and experiences related to COVID-19 are associated with the subjective assessments of infection and fatality risks. Given that risk perceptions are closely correlated with daily socio-economic activities and well-being, it is important for policymakers and public health experts to understand how to communicate COVID-19 risks to the public effectively.

Suggested Citation

  • Asako Chiba & Taisuke Nakata & Thuy Linh Nguyen & Reo Takaku, 2024. "COVID-19 Risk Perceptions in Japan: A Cross Sectional Study," CARF F-Series CARF-F-583, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    • Handle: RePEc:cfi:fseres:cf583
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