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dc.creatorHigazy, M.
dc.creatorAhmed Alyam, Maryam
dc.date.accessioned2020-09-25T17:28:14Z
dc.date.available2020-09-25T17:28:14Z
dc.date.created2020
dc.identifier.issn1110-0168spa
dc.identifier.otherhttps://doi.org/10.1016/j.aej.2020.08.034spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/13814
dc.description.abstractFractional derivative has a memory and non-localization features that make it very useful in modelling epidemics’ transition. The kernel of Caputo-Fabrizio fractional derivative has many features such as non-singularity, non-locality and an exponential form. Therefore, it is preferred for modeling disease spreading systems. In this work, we suggest to formulate COVID-19 epidemic transmission via SEIASqEqHR paradigm using the Caputo-Fabrizio fractional derivation method. In the suggested fractional order COVID-19 SEIASqEqHR paradigm, the impact of changing quarantining and contact rates are examined. The stability of the proposed fractional order COVID-19 SEIASqEqHR paradigm is studied and a parametric rule for the fundamental reproduction number formula is given. The existence and uniqueness of stable solution of the proposed fractional order COVID-19 SEIASqEqHR paradigm are proved. Since the genetic algorithm is a common powerful optimization method, we propose an optimum control strategy based on the genetic algorithm. By this strategy, the peak values of the infected population classes are to be minimized. The results show that the proposed fractional model is epidemiologically well-posed and is a proper elect.spa
dc.format.extent18 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherAlexandria Engineering Journalspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCOVID-19spa
dc.subjectFractional derivativespa
dc.subjectCaputo-Fabrizio fractional order differential operatorspa
dc.subjectThe existence and uniquenessspa
dc.subjectGenetic algorithmspa
dc.titleNew Caputo-Fabrizio fractional order SEIASqEqHR model for COVID-19 epidemic transmission with genetic algorithm based control strategyspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1016/j.aej.2020.08.034spa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


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