On a Fractional Variable-Order Model of MERS-CoV

dc.AffiliationOctober university for modern sciences and Arts y
dc.contributor.authorKhalil, Mohamed
dc.contributor.authorArafa, Anas
dc.contributor.authorSayed, Amaal
dc.date.accessioned2023-04-22T08:50:26Z
dc.date.available2023-04-22T08:50:26Z
dc.date.issued2023-04
dc.description.abstractIn this paper, a non-integer variable-order epidemiological model is presented to study the human-to-human transmission of Middle East respiratory syndrome coronavirus (MERS-CoV) pandemic in two areas. In the presented SISImodel, the human population is divided into two compartments; susceptible and infectious compartments. The impact of the memory which changes with time in the sense of Caputo’s derivative of fractional variable-order is studied through the numerical solutions of the proposed model. The numerical solutions are obtained via predictor corrector method. Moreover, the equilibrium points and stability of the model are illustrated. © 2023 NSP Natural Sciences Publishingen_US
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=21100871775&tip=sid&clean=0
dc.identifier.doihttps://doi.org/10.18576/pfda/090213
dc.identifier.other10.18576/pfda/090213
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/5559
dc.language.isoen_USen_US
dc.publisherNatural Sciences Publishingen_US
dc.relation.ispartofseriesProgress in Fractional Differentiation and Applications, 9(2), pp. 331-344.;9(2), pp. 331-344.
dc.subjectfractional variable-order epidemiological models;en_US
dc.subjectMathematical modeling of MERS-CoV;en_US
dc.subjectpredictor corrector methoden_US
dc.titleOn a Fractional Variable-Order Model of MERS-CoVen_US
dc.typeArticleen_US

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