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Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries

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dc.contributor.author Mahmoudi, Mohammad Reza
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Mansor, Zulkefli
dc.contributor.author Tuan, Bui Anh
dc.contributor.author Pho, Kim-Hung
dc.date.accessioned 2022-05-11T10:52:42Z
dc.date.available 2022-05-11T10:52:42Z
dc.date.issued 2020-11
dc.identifier.citation Mahmoudi, Mohammad Reza...et al. (2020). "Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries", Chaos, Solitons and Fractals, Vol. 140. tr_TR
dc.identifier.issn 0960-0779
dc.identifier.uri http://hdl.handle.net/20.500.12416/5492
dc.description.abstract The numbers of confirmed cases of new coronavirus (Covid-19) are increased daily in different countries. To determine the policies and plans, the study of the relations between the distributions of the spread of this virus in other countries is critical. In this work, the distributions of the spread of Covid-19 in Unites States America, Spain, Italy, Germany, United Kingdom, France, and Iran were compared and clustered using fuzzy clustering technique. At first, the time series of Covid-19 datasets in selected countries were considered. Then, the relation between spread of Covid-19 and population's size was studied using Pearson correlation. The effect of the population's size was eliminated by rescaling the Covid-19 datasets based on the population's size of USA. Finally, the rescaled Covid-19 datasets of the countries were clustered using fuzzy clustering. The results of Pearson correlation indicated that there were positive and significant between total confirmed cases, total dead cases and population's size of the countries. The clustering results indicated that the distribution of spreading in Spain and Italy was approximately similar and differed from other countries. © 2020 Elsevier Ltd tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.chaos.2020.110230 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Coronaviruses tr_TR
dc.subject Correlation tr_TR
dc.subject Covid-19 tr_TR
dc.subject Fuzzy Clustering tr_TR
dc.subject Statistics tr_TR
dc.title Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries tr_TR
dc.type article tr_TR
dc.relation.journal Chaos, Solitons and Fractals tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 140 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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