Abstract
Objectives: This study aimed to explore the public perception of the coronavirus disease (COVID-19) and preventive behaviors by age group. Methods: Focus group interviews were conducted, and response contents were classified by age group and analyzed. A semantic network analysis was employed to investigate relationships among keywords, and some sub-network characteristics were derived using a cohesive group analysis. Results: Given the keywords and sub-networks derived from the semantic network analysis, COVID-19 risks were classified into three levels: individual, group, international. Preventive behaviors were classified into two dimensions (personal hygiene, distancing). It was also possible to visualize and confirm connections among detailed concepts that constituted the public perception of COVID-19. Conclusion: This study shows that in establishing an effective crisis management response strategy to prevent emerging infectious diseases, biological risks and risk perception should be considered
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