Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak

dc.authorid0000-0002-6179-5746en_US
dc.contributor.authorÖzyılmaz, Ayfer
dc.contributor.authorBayraktar, Yüksel
dc.contributor.authorToprak, Metin
dc.contributor.authorIşık, Esme
dc.contributor.authorGüloğlu, Tuncay
dc.contributor.authorAydın, Serdar
dc.contributor.authorOlgun, Mehmet Fırat
dc.contributor.authorYounis, Mustafa
dc.date.accessioned2022-05-05T13:01:39Z
dc.date.available2022-05-05T13:01:39Z
dc.date.issued2022en_US
dc.departmentMTÖ Üniversitesi, Darende Meslek Yüksekokulu, Tıbbi Hizmetler ve Teknikler Bölümüen_US
dc.description.abstractObjective: In this study, the effects of social and health indicators affecting the number of cases and deaths of the COVID-19 pandemic were examined. For the determinants of the number of cases and deaths, four models consisting of social and health indicators were created. Methods: In this quantitative research, 93 countries in the model were used to obtain determinants of the confirmed cases and determinants of the COVID-19 fatalities. Results: The results obtained from Model I, in which the number of cases was examined with social indicators, showed that the number of tourists, the population between the ages of 15 and 64, and institutionalization had a positive effect on the number of cases. The results obtained from the health indicators of the number of cases show that cigarette consumption affects the number of cases positively in the 50th quantile, the death rate under the age of five affects the number of cases negatively in all quantiles, and vaccination positively affects the number of cases in 25th and 75th quantile values. Findings from social indicators of the number of COVID-19 deaths show that life expectancy negatively affects the number of deaths in the 25th and 50th quantiles. The population over the age of 65 and CO2 positively affect the number of deaths at the 25th, 50th, and 75th quantiles. There is a non-linear relationship between the number of cases and the number of deaths at the 50th and 75th quantile values. An increase in the number of cases increases the number of deaths to the turning point; after the turning point, an increase in the number of cases decreases the death rate. Herd immunity has an important role in obtaining this finding. As a health indicator, it was seen that the number of cases positively affected the number of deaths in the 50th and 75th quantile values and the vaccination rate in the 25th and 75th quantile values. Diabetes affects the number of deaths positively in the 75th quantile. Conclusion: The population aged 15–64 has a strong impact on COVID-19 cases, but in COVID-19 deaths, life expectancy is a strong variable. On the other hand, it has been found that vaccination and the number of cases interaction term has an effect on the mortality rate. The number of cases has a non-linear effect on the number of deaths.en_US
dc.identifier.citationOzyilmaz, A., Bayraktar, Y., Toprak, M., Isik, E., Guloglu, T., Aydin, S., ... & Younis, M. (2022, April). Socio-Economic, Demographic and Health Determinants of the COVID-19 Outbreak. In Healthcare (Vol. 10, No. 4, p. 748). MDPI.en_US
dc.identifier.doi10.3390/healthcare10040748
dc.identifier.endpage761en_US
dc.identifier.issn2227-9032en_US
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85129273612en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage748en_US
dc.identifier.urihttps://doi.org/10.3390/healthcare10040748
dc.identifier.urihttps://hdl.handle.net/20.500.12899/1061
dc.identifier.volume10en_US
dc.identifier.wosWOS:000786992500001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorIşık, Esme
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofHEALTHCAREen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19en_US
dc.subjectPrevalence of COVID-19en_US
dc.subjectHealthen_US
dc.subjectSocioeconomicen_US
dc.subjectQuantile regressionen_US
dc.titleSocio-Economic, Demographic and Health Determinants of the COVID-19 Outbreaken_US
dc.typeArticleen_US

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