Motivating factors of compliance to government's COVID-19 preventive guidelines: An investigation using discrete choice model

Sol Kwon, Hae Sun Suh, Chung Mo Nam, Hye Young Kang

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The spread of coronavirus disease 2019 (COVID-19) has resulted in a worldwide pandemic. We aimed to identify the factors that motivate public compliance with the government's COVID-19 preventive recommendations. Methods: Focus group interviews were conducted to identify influencing factors. The relative importance of each factor was investigated through a survey, based on a discrete choice model, from February to June, 2021 in South Korea. Results: “Severity of COVID-19 symptoms” (relative importance [magnitude of attribute coefficients]: 28.40%) and “risk of infection” (27.50%) were the most influential health-related factors, followed by social consequences of infection, including “cessation of social activities due to self-quarantine” (19.77%), “risk of personal information being disclosed when infected and social criticism on the infected person” (15.78%), and “risk of spreading infection” (8.55%). Respondents behaved differently based on their socioeconomic characteristics and COVID-19 experience. Discussion: The perceived severity of symptoms was a strong motivator among fragile individuals, such as women and older adults. “Cessation of social activities” was the most influential factor for those infected with COVID-19, while “risk of infection” was for those whose acquaintances were infected. Conclusions: The provision of information regarding COVID-19 to the public must be tailored based on an understanding of behavioral differences.

Original languageEnglish
Pages (from-to)988-995
Number of pages8
JournalAmerican Journal of Infection Control
Volume51
Issue number9
DOIs
Publication statusPublished - 2023 Sept

Bibliographical note

Publisher Copyright:
© 2023 Association for Professionals in Infection Control and Epidemiology, Inc.

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Infectious Diseases

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