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

被引：94
作者：
Mahmoudi, Mohammad Reza [2 ]
Heydari, Mohammad Hossein [3 ]
Qasem, Sultan Noman [4 ,5 ]
Mosavi, Amirhosein [6 ,7 ]
Band, Shahab S. [1 ,8 ]
机构：
[1] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
[2] Fasa Univ, Fac Sci, Dept Stat, Fasa, Fars, Iran
[3] Shiraz Univ Technol, Fac Sci, Dept Math, Shiraz, Iran
[4] Imam Mohammad Ibn Saud Islamic Univ IMSIU, Al Coll Comp & Informat Sci, Comp Sci Dept, Riyadh, Saudi Arabia
[5] Taiz Univ, Fac Appl Sci, Comp Sci Dept, Taizi, Yemen
[6] Ton Duc Thang Univ, Atmospher Sci & Climate Change Res Grp, Environm Qual, Ho Chi Minh City, Vietnam
[7] Ton Duc Thang Univ, Fac Environm & Labour Safety, Ho Chi Minh City, Vietnam
[8] Natl Yunlin Univ Sci & Technol, Coll Future, Future Technol Res Ctr, 123 Univ Rd,Sect 3, Touliu 64002, Yunlin, Taiwan
来源：
ALEXANDRIA ENGINEERING JOURNAL | 2021年 / 60卷 / 01期
关键词：
Coronaviruses; Covid-19; Statistics; Principal Component Analysis; Correlation; LARGE-SAMPLE INFERENCE; RATIO; REGRESSION;
D O I：
10.1016/j.aej.2020.09.013
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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. (C) 2020 The Authors. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
引用
收藏
页码：457 / 464
页数：8
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