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Dynamics of COVID-19 via singular and non-singular fractional operators under real statistical observations

dc.contributor.authorAlghamdi, Metib
dc.contributor.authorAlqarni, M. S.
dc.contributor.authorAlshomrani, Ali Saleh
dc.contributor.authorUllah, Malik Zaka
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorID56389tr_TR
dc.date.accessioned2022-04-07T08:25:58Z
dc.date.available2022-04-07T08:25:58Z
dc.date.issued2020
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractCoronavirus has paralyzed various socio-economic sectors worldwide. Such unprecedented outbreak was proved to be lethal for about 1,069,513 individuals based upon information released by Worldometers on October 09, 2020. In order to fathom transmission dynamics of the virus, different kinds of mathematical models have recently been proposed in literature. In the continuation, we have formulated a deterministic COVID-19 model under fractional operators using six nonlinear ordinary differential equations. Using fixed-point theory and Arzela Ascoli principle, the proposed model is shown to have existence of unique solution while stability analysis for differential equations involved in the model is carried out via Ulam-Hyers and generalized Ulam-Hyers conditions in a Banach space. Real COVID-19 cases considered from July 01 to August 14, 2020, in Pakistan were used to validate the model, thereby producing best fitted values for the parameters via nonlinear least-squares approach while minimizing sum of squared residuals. Elasticity indices for each parameter are computed. Two numerical schemes under singular and non-singular operators are formulated for the proposed model to obtain various simulations of particularly asymptomatically infectious individuals and of control reproduction number Rc. It has been shown that the fractional operators with order alpha=9.8254e-01 generated Rc=2.5087 which is smaller than the one obtained under the classical case ( alpha=1). Interesting behavior of the virus is explained under fractional case for the epidemiologically relevant parameters. All results are illustrated from biological viewpoint.en_US
dc.description.publishedMonth12
dc.identifier.citationAlghamdi, Metib...et al. (2020). "Dynamics of COVID-19 via singular and non-singular fractional operators under real statistical observations", Mathematical Methods in the Applied Sciences.en_US
dc.identifier.doi10.1002/mma.7095
dc.identifier.issn0170-4214
dc.identifier.urihttp://hdl.handle.net/20.500.12416/5301
dc.language.isoenen_US
dc.relation.ispartofMathematical Methods in the Applied Sciencesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArzela Ascoli Principleen_US
dc.subjectCOVID-19en_US
dc.subjectNonlinear Least-Squares Approachen_US
dc.titleDynamics of COVID-19 via singular and non-singular fractional operators under real statistical observationstr_TR
dc.titleDynamics of Covid-19 Via Singular and Non-Singular Fractional Operators Under Real Statistical Observationsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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