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

Mohammad Reza Mahmoudi; Dumitru Baleanu; Shahab S Band; Amir Mosavi

doi:10.1016/j.rinp.2021.104071

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

Results Phys. 2021 Jun:25:104071. doi: 10.1016/j.rinp.2021.104071. Epub 2021 Mar 22.

Authors

Mohammad Reza Mahmoudi¹, Dumitru Baleanu^{2

3}, Shahab S Band⁴, Amir Mosavi^{5

6}

Affiliations

¹ Department of Statistics, Faculty of Science, Fasa University, Fasa, Fars, Iran.
² Department of Mathematics, Faculty of Art and Sciences, Cankaya University Balgat 06530, Ankara, Turkey.
³ Institute of Space Sciences, Magurele-Bucharest, Romania.
⁴ Future Technology Research Center, College of Future, National Yunlin University of Science and Technology 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, ROC.
⁵ John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.
⁶ School of Economics and Business, Norwegian University of Life Sciences, 1430 Ås, Norway.

Abstract

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.

Keywords: Coronaviruses; Correlation; Covid-19; Factor analysis.