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KMID : 0858820200370040041
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Journal of Korean Society for Health Education and Promotion
2020 Volume.37 No. 4 p.41 ~ p.58
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Understanding public perception of COVID-19 and preventive behaviors based on a semantic network analysis
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Jang Sa-Rang
Sohn Ae-Ree
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Abstract
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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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KEYWORD
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COVID-19, risk perception, Non-Pharmaceutical Interventions(NPIs), semantic network analysis, qualitative research
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