Analysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative

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dc.contributor.authorSinan, Muhammad
dc.contributor.authorShah, Kamal
dc.contributor.authorAbdeljawad, Thabet
dc.contributor.authorAkgül, Ali
dc.date.accessioned2024-12-24T19:10:21Z
dc.date.available2024-12-24T19:10:21Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractShort memory and long memory terms are excellently explained using the concept of piecewise fractional order derivatives. In this research work, we investigate dynamical systems addressing COVID-19 under piecewise equations with fractional order derivative (FOD). Here, we study the sensitivity of the proposed model by using some tools from the nonlinear analysis. Additionally, we develop a numerical scheme to simulate the model against various fractional orders by using Matlab 2016. All the results are presented graphically. © 2023 Chaos Theory and Applications. All rights reserved.
dc.description.sponsorshipPrince Sultan University, PSU
dc.identifier.doi10.51537/chaos.1210461
dc.identifier.endpage33
dc.identifier.issn2687-4539
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85170097663
dc.identifier.scopusqualityQ1
dc.identifier.startpage27
dc.identifier.urihttps://doi.org10.51537/chaos.1210461
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4071
dc.identifier.volume5
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAkif AKGUL
dc.relation.ispartofChaos Theory and Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectCrossover behavior
dc.subjectMathematical biology
dc.subjectNonlinear dynamical system
dc.subjectSensitivity analysis
dc.titleAnalysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise Derivative
dc.typeArticle

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