Factor analysis approach to classify COVID-19 datasets in several regions

The aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson’s correlation is used to determine the relationships among these countries. The...

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Autores principales: Mahmoudi, Mohammad Reza, Baleanu, Dumitru, Band, Shahab S., Mosavi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982653/
https://www.ncbi.nlm.nih.gov/pubmed/33777669
http://dx.doi.org/10.1016/j.rinp.2021.104071
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author Mahmoudi, Mohammad Reza
Baleanu, Dumitru
Band, Shahab S.
Mosavi, Amir
author_facet Mahmoudi, Mohammad Reza
Baleanu, Dumitru
Band, Shahab S.
Mosavi, Amir
author_sort Mahmoudi, Mohammad Reza
collection PubMed
description The aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson’s correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships.
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spelling pubmed-79826532021-03-23 Factor analysis approach to classify COVID-19 datasets in several regions Mahmoudi, Mohammad Reza Baleanu, Dumitru Band, Shahab S. Mosavi, Amir Results Phys Article The aim of this research is to investigate the relationships between the counts of cases with Covid-19 and the deaths due to it in seven countries that are severely affected from this pandemic disease. First, the Pearson’s correlation is used to determine the relationships among these countries. Then, the factor analysis is applied to categorize these countries based on their relationships. The Authors. Published by Elsevier B.V. 2021-06 2021-03-22 /pmc/articles/PMC7982653/ /pubmed/33777669 http://dx.doi.org/10.1016/j.rinp.2021.104071 Text en © 2021 The Authors 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
Band, Shahab S.
Mosavi, Amir
Factor analysis approach to classify COVID-19 datasets in several regions
title Factor analysis approach to classify COVID-19 datasets in several regions
title_full Factor analysis approach to classify COVID-19 datasets in several regions
title_fullStr Factor analysis approach to classify COVID-19 datasets in several regions
title_full_unstemmed Factor analysis approach to classify COVID-19 datasets in several regions
title_short Factor analysis approach to classify COVID-19 datasets in several regions
title_sort factor analysis approach to classify covid-19 datasets in several regions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982653/
https://www.ncbi.nlm.nih.gov/pubmed/33777669
http://dx.doi.org/10.1016/j.rinp.2021.104071
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