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10.1016/j.chaos.2020.110230 http://scihub22266oqcxt.onion/10.1016/j.chaos.2020.110230 32863611!7442906!32863611     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2020 ; 140 (ä): 110230 Nephropedia Template TP {{tp|p=32863611|t=2020. Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |pdf=|usr=}}{{32863611}} gab.com Text Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32863611 #FOAvip 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. Twit Text FOAVip Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=32863611 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32863611 #FOAvip English Wikipedia <ref>{{Cite pmid|32863611}}</ref> Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries #MMPMID32863611 Mahmoudi MR; Baleanu D; Mansor Z; Tuan BA; Pho KH Chaos Solitons Fractals 2020[Nov]; 140 (ä): 110230 PMID32863611show ga 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. äFuzzy clustering method to compare the spread rate of Covid-19 in the (epmc).pdf DeepDyve Pubget Overpricing