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

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

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, b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Alexandria engineering journal 2021-02, Vol.60 (1), p.457-464
Hauptverfasser: Mahmoudi, Mohammad Reza, Heydari, Mohammad Hossein, Qasem, Sultan Noman, Mosavi, Amirhosein, Band, Shahab S.
Format: Artikel
Sprache:eng
Schlagworte:
Coronaviruses
Correlation
Covid-19
Principal Component Analysis
Statistics
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1110-0168
1110-0168
DOI:10.1016/j.aej.2020.09.013