Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries

Mohammad Reza Mahmoudi; Mohammad Hossein Heydari; Sultan Noman Qasem; Amirhosein Mosavi; Shahab S. Band

doi:10.1016/j.aej.2020.09.013

Alexandria Engineering Journal (Feb 2021)

Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries

Mohammad Reza Mahmoudi,
Mohammad Hossein Heydari,
Sultan Noman Qasem,
Amirhosein Mosavi,
Shahab S. Band

Affiliations

Mohammad Reza Mahmoudi: Department of Statistics, Faculty of Science, Fasa University, Fasa, Fars, Iran
Mohammad Hossein Heydari: Department of Mathematics, Faculty of Science, Shiraz University of Technology, Shiraz, Iran
Sultan Noman Qasem: Computer Science Department, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; Computer Science Department, Faculty of Applied Science, Taiz University, Taiz, Yemen
Amirhosein Mosavi: Environmental Quality, Atmospheric Science and Climate Change Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Corresponding authors.
Shahab S. Band: Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam; Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, ROC; Corresponding authors.

DOI: https://doi.org/10.1016/j.aej.2020.09.013
Journal volume & issue: Vol. 60, no. 1
pp. 457 – 464

Abstract

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In this research, the number of patients with Covid-19 and the number of deaths due to this disease in France, Germany, Iran, Italy, Spain, United Kingdom, and Unites States America are considered. First, the relations between the considered countries are studied using Pearson’s correlation. Then, based on the spread rate of Covid-19, these countries are categorized using principal component analysis.

Published in Alexandria Engineering Journal

ISSN: 1110-0168 (Print); 2090-2670 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: https://www.sciencedirect.com/journal/alexandria-engineering-journal

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