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Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study

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dc.contributor.authorKim, Kyungsik-
dc.contributor.authorJeung, Young-Do-
dc.contributor.authorChoi, Jeoungbin-
dc.contributor.authorPark, Sue K.-
dc.date.accessioned2022-06-24T00:27:12Z-
dc.date.available2022-06-24T00:27:12Z-
dc.date.created2022-05-23-
dc.date.issued2022-03-
dc.identifier.citation예방의학회지, Vol.55 No.2, pp.144-152-
dc.identifier.issn1975-8375-
dc.identifier.urihttps://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.language영어-
dc.publisher대한예방의학회-
dc.titleSocial and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study-
dc.typeArticle-
dc.identifier.doi10.3961/jpmph.21.396-
dc.citation.journaltitle예방의학회지-
dc.identifier.scopusid2-s2.0-85128585711-
dc.citation.endpage152-
dc.citation.number2-
dc.citation.startpage144-
dc.citation.volume55-
dc.identifier.kciidART002827471-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorPark, Sue K.-
dc.type.docTypeArticle-
dc.description.journalClass1-
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