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

Mohammad Reza Mahmoudi | Zendy; Dumitru Băleanu | Zendy; Shahab S. Band | Zendy; Amir Mosavi | Zendy

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

Author(s) -

Mohammad Reza Mahmoudi,

Dumitru Băleanu,

Shahab S. Band,

Amir Mosavi

Publication year - 2021

Publication title -

results in physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.743

H-Index - 56

ISSN - 2211-3797

DOI - 10.1016/j.rinp.2021.104071

Subject(s) - covid-19 , categorization , pandemic , statistics , correlation , econometrics , disease , medicine , computer science , mathematics , virology , artificial intelligence , infectious disease (medical specialty) , outbreak , geometry

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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