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

dc.creatorReza Mahmoudi, Mohammad
dc.creatorHossein Heydari, Mohammad
dc.creatorNoman Qasem, Sultan
dc.creatorMosavi, Amirhosein
dc.creatorBand, Shahab S.
dc.date.accessioned2020-09-22T20:11:03Z
dc.date.accessioned2022-09-23T18:03:34Z
dc.date.available2020-09-22T20:11:03Z
dc.date.available2022-09-23T18:03:34Z
dc.date.created2020-09-22T20:11:03Z
dc.identifier1110-0168
dc.identifierhttps://doi.org/10.1016/j.aej.2020.09.013
dc.identifierhttp://hdl.handle.net/20.500.12010/13607
dc.identifierhttps://doi.org/10.1016/j.aej.2020.09.013
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3494181
dc.description.abstractn 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.
dc.languageeng
dc.publisherAlexandria Engineering Journal
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.sourcereponame:Expeditio Repositorio Institucional UJTL
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozano
dc.subjectCoronaviruses
dc.subjectCovid-19
dc.subjectStatistics
dc.subjectPrincipal Component Analysis
dc.subjectCorrelation
dc.titlePrincipal component analysis to study the relations between the spread rates of COVID-19 in high risks countries


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