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A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model

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dc.contributor.author Sweilam, N. H.
dc.contributor.author Al-Mekhlafi, S. M.
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2023-11-09T12:25:06Z
dc.date.available 2023-11-09T12:25:06Z
dc.date.issued 2021-04
dc.identifier.citation Sweilam, N. H.; Al-Mekhlafi, S. M.; Baleanu, Dumitru (2021). "A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model", CHAOS SOLITONS & FRACTALS, Vol. 145. tr_TR
dc.identifier.issn 0960-0779
dc.identifier.uri http://hdl.handle.net/20.500.12416/6557
dc.description.abstract In this paper, a new stochastic fractional Coronavirus (2019-nCov) model with modified parameters is presented. The proposed stochastic COVID-19 model describes well the real data of daily confirmed cases in Wuhan. Moreover, a novel fractional order operator is introduced, it is a linear combination of Caputo's fractional derivative and Riemann-Liouville integral. Milstein's higher order method is constructed with the new fractional order operator to study the model problem. The mean square stability of Milstein algorithm is proved. Numerical results and comparative studies are introduced. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1016/j.chaos.2021.110762 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Stochastic Fractional Model tr_TR
dc.subject Hybrid Fractional Operator tr_TR
dc.subject Milstein?s Method tr_TR
dc.title A hybrid stochastic fractional order Coronavirus (2019-nCov) mathematical model tr_TR
dc.type article tr_TR
dc.relation.journal CHAOS SOLITONS & FRACTALS tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 145 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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