Factor Analysis Approach To Classify Covid-19 Datasets in Several Regions
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier B.V.
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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. © 2021 The Authors
Description
Keywords
Coronaviruses, Correlation, Covid-19, Factor Analysis, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, Statistical Analysis in Various Fields, Bioinformatics, Coronaviruses, QC1-999, Social Sciences, Geometry, Infectious disease (medical specialty), Article, mathematical analysis, Decision Sciences, FOS: Economics and business, Virology, Health Sciences, FOS: Mathematics, Pathology, Disease, Econometrics, Factor (programming language), Pandemic, Geography, Physics, Modeling the Dynamics of COVID-19 Pandemic, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Statistics, Life Sciences, Outbreak, Applications of Deep Learning in Medical Imaging, Computer science, Correlation, Programming language, Coronavirus disease 2019 (COVID-19), Categorization, Modeling and Simulation, Physical Sciences, Medicine, Factor analysis, Statistics, Probability and Uncertainty, Covid-19, 2019-20 coronavirus outbreak, Mathematics
Fields of Science
01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, 0101 mathematics
Citation
Mahmoudi, Mohammad Reza...et al. (2021). "Factor analysis approach to classify COVID-19 datasets in several regions", Results in Physics, Vol. 25.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
23
Source
Results in Physics
Volume
25
Issue
Start Page
End Page
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Citations
CrossRef : 22
Scopus : 25
PubMed : 10
Captures
Mendeley Readers : 29
SCOPUS™ Citations
25
checked on Apr 11, 2026
Page Views
4
checked on Apr 11, 2026
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