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dc.contributor.authorOyelowo Yemisi
dc.contributor.authorIbrahim Mohammed Olarenwaju
dc.contributor.authorAdamu Bala
dc.contributorDepartment of Mathematics, Tai Solarin College of Education, Ogun State, Nigeriaen_US
dc.contributorDepartment of Mathematics, Waziri Umaru Federal Polytechnic, Binrin Kebbi, Kebbi State, Nigeriaen_US
dc.contributorDepartment of Mathematics, University of Ilorin, Nigeriaen_US
dc.contributorDepartment of Basic Sciences, Federal Polytechnic, Auchi Edo State, Nigeriaen_US
dc.creatorAkinyemi Samuel Tosin
dc.date.accessioned2023-08-16T06:48:53Z
dc.date.available2023-08-16T06:48:53Z
dc.date.issued2023-04
dc.identifier.citationApplied Mathematics and Computational Intelligence (AMCI), vol.12(1), 2023, pages 30-42en_US
dc.identifier.issn2289-1315 (print)
dc.identifier.issn2289-1323 (online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/79076
dc.descriptionLink to publisher's homepage at https://amci.unimap.edu.my/en_US
dc.description.abstractAn elegant approximation of the fractional-order epidemic model's for Ebola Virus Disease (EVD) transmission combined with contact tracing and quarantine is presented in this study. The EVD model is governed by a system of nonlinear ordinary differential equations of fractional order described in Caputo sense. The Adams-Bashforth-Moulton algorithm is applied to simulate the model and compared with Runge-Kutta method in the case of integer-order derivatives to validate its efficiencyen_US
dc.language.isoenen_US
dc.publisherInstitute of Engineering Mathematics, Universiti Malaysia Perlisen_US
dc.subject.otherAdams-Bashforth-Moulton Methoden_US
dc.subject.otherCaputo Derivativesen_US
dc.subject.otherEbola Virus Disease modelen_US
dc.subject.otherFractional Differential Equationen_US
dc.titleApproximate solution of a Fractional-Order Ebola Virus Disease model with contact tracing and quarantineen_US
dc.typeArticleen_US
dc.contributor.urlSammysalt047@gmail.comen_US


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