Analysis of Covid-19 Pandemic Data According to the Countries Including in the Human Development Index by Using Clustering Analysis K-Average Method

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dc.authorwosidGÖRÜR, Çetin/HZM-1354-2023
dc.contributor.authorKanberoglu, Zafer
dc.contributor.authorGorur, Cetin
dc.contributor.authorYildirimcakar, Ibrahim
dc.contributor.authorTurkmenoglu, Mustafa
dc.date.accessioned2024-08-04T20:56:28Z
dc.date.available2024-08-04T20:56:28Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractOne of the important disasters of the 21st century is the Covid-19 pandemic that started in China in December 2019 and spread all over the world in a short time. The Covid-19 pandemic, which started as a health problem, continues to deeply affect all structures of the countries with its economic and social dimensions. Although there is a parallelism between the development level of the country and its success in combating the pandemic, differentiation is observed from time to time. Within the scope of this study, Covid-19 pandemic data will be obtained by country and will be analyzed using the Cluster analysis K-Average Method. The sample of the study will be forty countries in total, including ten countries in eachcategory, in different developmentcategories in the United Nations human development index. In the first stage of the cluster analysis to be used in the study, the variables of total cases, daily cases, total deaths and daily deaths belonging to countries; In these cond phase, total cases per million, daily cases per million, total deaths per million and deaths per million will be used. It will be analyzed whether the variables used in the said stages make a meaningful clustering. In this context, it will be revealed whether countries are in the same cluster according to their level of development in the fight against the Covid-19 pandemic.en_US
dc.identifier.doi10.5281/zenodo.5831774
dc.identifier.endpage468en_US
dc.identifier.issn1925-4423
dc.identifier.issue2en_US
dc.identifier.startpage454en_US
dc.identifier.urihttps://doi.org/10.5281/zenodo.5831774
dc.identifier.urihttps://hdl.handle.net/11616/102342
dc.identifier.volume11en_US
dc.identifier.wosWOS:000742805300006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherInt Journal Contemporary Economics & Administrative Sciencesen_US
dc.relation.ispartofInternational Journal of Contemporary Economics and Administrative Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectK-Means Cluster methoden_US
dc.subjectCovid-19en_US
dc.subjectANOVAen_US
dc.titleAnalysis of Covid-19 Pandemic Data According to the Countries Including in the Human Development Index by Using Clustering Analysis K-Average Methoden_US
dc.typeArticleen_US

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