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Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442906/ https://www.ncbi.nlm.nih.gov/pubmed/32863611 http://dx.doi.org/10.1016/j.chaos.2020.110230 |
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author | Mahmoudi, Mohammad Reza Baleanu, Dumitru Mansor, Zulkefli Tuan, Bui Anh Pho, Kim-Hung |
author_facet | Mahmoudi, Mohammad Reza Baleanu, Dumitru Mansor, Zulkefli Tuan, Bui Anh Pho, Kim-Hung |
author_sort | Mahmoudi, Mohammad Reza |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7442906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74429062020-08-24 Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries Mahmoudi, Mohammad Reza Baleanu, Dumitru Mansor, Zulkefli Tuan, Bui Anh Pho, Kim-Hung Chaos Solitons Fractals Article 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. Elsevier Ltd. 2020-11 2020-08-22 /pmc/articles/PMC7442906/ /pubmed/32863611 http://dx.doi.org/10.1016/j.chaos.2020.110230 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mahmoudi, Mohammad Reza Baleanu, Dumitru Mansor, Zulkefli Tuan, Bui Anh Pho, Kim-Hung Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title | Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title_full | Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title_fullStr | Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title_full_unstemmed | Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title_short | Fuzzy clustering method to compare the spread rate of Covid-19 in the high risks countries |
title_sort | fuzzy clustering method to compare the spread rate of covid-19 in the high risks countries |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7442906/ https://www.ncbi.nlm.nih.gov/pubmed/32863611 http://dx.doi.org/10.1016/j.chaos.2020.110230 |
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