Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi

Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

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dc.contributor.authorKocadagli, Ozan
dc.contributor.authorKose, Ali Mertcan
dc.contributor.authorGokmen Inan, Neslihan
dc.contributor.authorOzer, Ezgi
dc.contributor.authorYaman Kocadagli, Aylin
dc.contributor.authorBostanci, Ecem
dc.date.accessioned2025-01-09T20:07:58Z
dc.date.available2025-01-09T20:07:58Z
dc.date.issued2022
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.urihttps://doi.org/10.14744/sigma.2022.00017
dc.identifier.urihttps://hdl.handle.net/20.500.14124/7899
dc.description.abstractCoronavirus 2019 (COVID-19) is an infectious respiratory disease that might be fatal to humans due to severe acute respiratory syndrome coronovirus-2. COVID-19 first appeared in Wuhan, China in 2019 and soon have spread all over the world. Therefore, it was accepted as a global epidemic by the World Health Organization in March 2020. The aim of this study is to reveal the effects of the demographic structure of the countries, their socio-economic development, the precautions, and health practices implemented by the governments against COVID-19 on the rate of transmission until the first peak days (plateaus) are appeared. Due to the socio-economic developments and reaching out the clear and transparent COVID-19 dataset, the sample of the study was formed from G20 and EU countries. The in terpretable factors affecting the transmission rate of COVID-19 were extracted with factor analysis and multidimensional scaling. Multivariate analysis figures out the effects of th e pr ecautions an d health practices implemented by G20 and EU countries with similar/different socio-economic development characteristics on the transmission rate. For instance, a result obtained from the multivariate analyzes is that COVID-19 cases in developed and developing countries differ from each other at their first plateaus. Another noteworthy inference is that COVID-19 cases are trending similarly within some developed countries with the higher ratio of population (65+) and Human Development Index (HDI). Furthermore, the population ratio (15-64) is itself an explanatory factor that can be used to characterize similar transmission patterns between countries. Consequently, these findings may help state authorities to take urgent precautions and manage such a global epidemic by much more efficient health policies.en_US
dc.language.isoengen_US
dc.publisherYildiz Technical Univen_US
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCovid-19en_US
dc.subjecttransmission rateen_US
dc.subjectprecautionsen_US
dc.subjectG20en_US
dc.subjectEUen_US
dc.subjectSocio-economic factorsen_US
dc.subjectFactor analysisen_US
dc.subjectMulti-dimensional scalingen_US
dc.titleImportant factors affecting the transmission rate of COVID-19 in G20 and EUen_US
dc.typearticleen_US
dc.authoridgokmen, neslihan/0000-0002-7855-1297
dc.authoridYaman Kocadagli, Aylin/0000-0002-7195-494X
dc.authoridKose, Ali Mertcan/0000-0002-5464-9441
dc.authoridkocadagli, ozan/0000-0003-4354-7383
dc.departmentMimar Sinan Güzel Sanatlar Üniversitesien_US
dc.identifier.doi10.14744/sigma.2022.00017
dc.identifier.volume40en_US
dc.identifier.issue1en_US
dc.identifier.startpage208en_US
dc.identifier.endpage218en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.wosqualityN/A
dc.identifier.wosWOS:000777898300015
dc.identifier.scopus2-s2.0-85160219629
dc.identifier.scopusqualityQ3
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.snmzKA_20250105


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