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Motivating factors of compliance to government's COVID-19 preventive guidelines: An investigation using discrete choice model
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kwon, Sol | - |
| dc.contributor.author | Suh, Hae-Sun | - |
| dc.contributor.author | Nam, Chung-Mo | - |
| dc.contributor.author | Kang, Hye-Young | - |
| dc.date.accessioned | 2023-10-19T05:38:49Z | - |
| dc.date.available | 2023-10-19T05:38:49Z | - |
| dc.date.created | 2024-01-22 | - |
| dc.date.issued | 2023-09 | - |
| dc.identifier.issn | 0196-6553 | - |
| dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/196232 | - |
| dc.description.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.& COPY; 2023 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved. | - |
| dc.description.statementOfResponsibility | open | - |
| dc.language | English | - |
| dc.publisher | Mosby | - |
| dc.relation.isPartOf | AMERICAN JOURNAL OF INFECTION CONTROL | - |
| dc.relation.isPartOf | AMERICAN JOURNAL OF INFECTION CONTROL | - |
| dc.rights | CC BY-NC-ND 2.0 KR | - |
| dc.title | Motivating factors of compliance to government's COVID-19 preventive guidelines: An investigation using discrete choice model | - |
| dc.type | Article | - |
| dc.contributor.college | College of Medicine (의과대학) | - |
| dc.contributor.department | Dept. of Preventive Medicine (예방의학교실) | - |
| dc.contributor.googleauthor | Kwon, Sol | - |
| dc.contributor.googleauthor | Suh, Hae-Sun | - |
| dc.contributor.googleauthor | Nam, Chung-Mo | - |
| dc.contributor.googleauthor | Kang, Hye-Young | - |
| dc.identifier.doi | 10.1016/j.ajic.2022.12.013 | - |
| dc.relation.journalcode | J00088 | - |
| dc.identifier.eissn | 1527-3296 | - |
| dc.identifier.pmid | 36639112 | - |
| dc.subject.keyword | Health behavior | - |
| dc.subject.keyword | Infection | - |
| dc.subject.keyword | Conditional logit model | - |
| dc.contributor.alternativeName | Nam, Jung Mo | - |
| dc.contributor.affiliatedAuthor | Nam, Chung-Mo | - |
| dc.identifier.scopusid | 2-s2.0-85146866526 | - |
| dc.identifier.wosid | 001066672900001 | - |
| dc.citation.volume | 51 | - |
| dc.citation.number | 9 | - |
| dc.citation.startPage | 988 | - |
| dc.citation.endPage | 995 | - |
| dc.identifier.bibliographicCitation | AMERICAN JOURNAL OF INFECTION CONTROL, Vol.51(9) : 988-995, 2023-09 | - |
| dc.identifier.rimsid | 81724 | - |
| dc.type.rims | ART | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.subject.keywordAuthor | Health behavior | - |
| dc.subject.keywordAuthor | Infection | - |
| dc.subject.keywordAuthor | Conditional logit model | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalWebOfScienceCategory | Public, Environmental & Occupational Health | - |
| dc.relation.journalWebOfScienceCategory | Infectious Diseases | - |
| dc.relation.journalResearchArea | Public, Environmental & Occupational Health | - |
| dc.relation.journalResearchArea | Infectious Diseases | - |
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