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

Sweilam, N. H.; Al-Mekhlafi, S. M.; Baleanu, Dumitru

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