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Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Kyungsik | - |
dc.contributor.author | Jeung, Young-Do | - |
dc.contributor.author | Choi, Jeoungbin | - |
dc.contributor.author | Park, Sue K. | - |
dc.date.accessioned | 2022-06-24T00:27:12Z | - |
dc.date.available | 2022-06-24T00:27:12Z | - |
dc.date.created | 2022-05-23 | - |
dc.date.issued | 2022-03 | - |
dc.identifier.citation | 예방의학회지, Vol.55 No.2, pp.144-152 | - |
dc.identifier.issn | 1975-8375 | - |
dc.identifier.uri | https://hdl.handle.net/10371/183795 | - |
dc.description.abstract | © 2022 The Korean Society for Preventive Medicine.Objectives: This study aimed to identify the social and policy determinants of coronavirus disease 2019 (COVID-19) infection across 23 countries. Methods: COVID-19 indicators (incidence, mortality, and fatality) for each country were calculated by direct and indirect standardization. Multivariable regression analyses were used to identify the social and policy determinants of COVID-19 infection. Results: A higher number of doctors per population was related to lower incidence, mortality, and fatality rates of COVID-19 in 23 countries (β=-0.672, -0.445, and -0.564, respectively). The number of nurses/midwives per population was associated with lower mortality and fatality rates of COVID-19 in 23 countries (β=-0.215 and -0.372, respectively). Strengthening of policy restriction indicators, such as restrictions of public gatherings, was related to lower COVID-19 incidence (β=-0.423). A national Bacillus Calmette-Guérin vaccination policy conducted among special groups or in the past was associated with a higher incidence of COVID-19 in 23 countries (β=0.341). The proportion of the elderly population (aged over 70 years) was related to higher mortality and fatality rates (β=0.209 and 0.350, respectively), and income support was associated with mortality and fatality rates (β=-0.362 and -0.449, respectively). Conclusions: These findings do not imply causality because this was a country-based correlation study. However, COVID-19 transmission can be influenced by social and policy determinants such as integrated health systems and policy responses to COVID-19. Various social and policy determinants should be considered when planning responses to COVID-19. | - |
dc.language | 영어 | - |
dc.publisher | 대한예방의학회 | - |
dc.title | Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study | - |
dc.type | Article | - |
dc.identifier.doi | 10.3961/jpmph.21.396 | - |
dc.citation.journaltitle | 예방의학회지 | - |
dc.identifier.scopusid | 2-s2.0-85128585711 | - |
dc.citation.endpage | 152 | - |
dc.citation.number | 2 | - |
dc.citation.startpage | 144 | - |
dc.citation.volume | 55 | - |
dc.identifier.kciid | ART002827471 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Sue K. | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
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