Demography, inequalities and Global Health Security Index as correlates of COVID-19 morbidity and mortality

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dc.authoridHayran, Osman / 0000-0002-9994-5033
dc.authorscopusid57201979329
dc.authorscopusid56326674500
dc.authorscopusid57202348269
dc.authorwosidHayran, Osman/J-9261-2014
dc.contributor.authorKumru, Seda
dc.contributor.authorYiğit, Pakize
dc.contributor.authorHayran, Osman
dc.date.accessioned2022-02-15T16:58:06Z
dc.date.available2022-02-15T16:58:06Z
dc.date.issued2021
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractBackground During a pandemic, the occurrence of infections and case fatality rates are expected to vary from one country to another due to several variables such as poverty, existing comorbidities, population density, access to health care, availability and quality of health system resources, and environmental factors. Objectives Our aim is to investigate the relationship between various demographic and socioeconomic factors and reported COVID-19 morbidity and mortality indicators in different countries. Also, to determine the position of the countries relative to each other in terms of three indicators including COVID-19 cases, deaths and tests. Methods Canonical correlation analysis is used to investigate the intercorrelations between independent variables and the COVID-19 cases and deaths for 92 countries. Countries' performances are measured by MULTIMOORA. Results Human Development Index, smoking habits, percentage of elderly population and test frequency are the most significant variables associated with COVID-19 morbidity and mortality according to our study findings. Singapore, New Zealand and Australia are the best performed countries. Conclusions Several significant and unexpected associations exist between socioeconomic factors and the COVID-19 cases and deaths. Singapore, New Zealand and Australia are surrounded by water, have been more successful in the pandemic process compared to other countries.en_US
dc.identifier.doi10.1002/hpm.3384
dc.identifier.issn0749-6753
dc.identifier.issn1099-1751
dc.identifier.pmid34762746en_US
dc.identifier.scopus2-s2.0-85118841677en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1002/hpm.3384
dc.identifier.urihttps://hdl.handle.net/20.500.14034/345
dc.identifier.wosWOS:000717134300001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.journalInternational Journal Of Health Planning And Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19 pandemicen_US
dc.subjectdemographyen_US
dc.subjecthealth policyen_US
dc.subjectsocioeconomic factorsen_US
dc.subjectMultimooraen_US
dc.subjectDeterminantsen_US
dc.titleDemography, inequalities and Global Health Security Index as correlates of COVID-19 morbidity and mortalityen_US
dc.typeArticleen_US

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