Scientific Reports (Jul 2024)

COVID-19 risk perceptions in Japan: a cross-sectional study

  • Asako Chiba,
  • Taisuke Nakata,
  • Thuy Linh Nguyen,
  • Reo Takaku

DOI
https://doi.org/10.1038/s41598-024-67741-z
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 11

Abstract

Read online

Abstract We conducted a large-scale online survey in February 2023 to investigate the public’s perceptions of COVID-19 infection and fatality risks in Japan. We identified two key findings. First, univariate analysis comparing perceived and actual risk suggested overestimation and nonnegligible underestimation of COVID-19 risk. Second, multivariate logistic regression analyses revealed that age, income, education levels, health status, information sources, and experiences related to COVID-19 were associated with risk perceptions. Given that risk perceptions are closely correlated with daily socioeconomic activities and well-being, it is important for policy-makers and public health experts to understand how to communicate COVID-19 risk to the public effectively.