Important factors affecting the transmission rate of COVID-19 in G20 and EU

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dc.authoridEzgi Özer / 0000-0003-1567-2216
dc.authorscopusidEzgi Özer / 57898760000
dc.authorwosidEzgi Özer / AAP-8619-2020en_US
dc.contributor.authorKocadağlı, Ozan
dc.contributor.authorKöse, Ali Mertcan
dc.contributor.authorGökmen İnan, Neslihan
dc.contributor.authorÖzer, Ezgi
dc.contributor.authorYaman Kocadağlı, Aylin
dc.contributor.authorBostancı, Ecem
dc.date.accessioned2022-05-23T14:22:19Z
dc.date.available2022-05-23T14:22:19Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Meslek Yüksekokulu, Bilgisayar Programcılığı Bölümüen_US
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.identifier.citationKocadagli, O., Kose, A. M., Gokmen Inan, N., Ozer, E., Yaman Kocadagli, A., Bostanci, E. (2022). Important factors affecting the transmission rate of COVID-19 in G20 and EU. Sigma Journal of Engineering and Natural Sciences-Sigma Muhendislik ve Fen Bilimleri Dergisi, 40(1), 208-218.en_US
dc.identifier.doi10.14744/sigma.2022.00017en_US
dc.identifier.endpage218en_US
dc.identifier.issn1304-7205en_US
dc.identifier.issue1en_US
dc.identifier.startpage208en_US
dc.identifier.urihttps://doi.org/10.14744/sigma.2022.00017
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2730
dc.identifier.volume40en_US
dc.identifier.wosWOS:000777898300015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorÖzer, Ezgi
dc.language.isoenen_US
dc.publisherYILDIZ TECHNICAL UNIVen_US
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISIen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_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

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