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Global dynamics of deterministic-stochastic dengue infection model including multi specific receptors via crossover effects

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dc.contributor.author Rashid, Saima
dc.contributor.author Jarad, Fahd
dc.contributor.author El-Marouf, Sobhy A. A.
dc.contributor.author Elagan, Sayed K.
dc.date.accessioned 2023-12-22T12:00:19Z
dc.date.available 2023-12-22T12:00:19Z
dc.date.issued 2023
dc.identifier.citation Rashid, Saima...et.al. (2023). "Global dynamics of deterministic-stochastic dengue infection model including multi specific receptors via crossover effects", AIMS Mathematics, Vol.8, No.3, pp.6466-6503. tr_TR
dc.identifier.issn 24736988
dc.identifier.uri http://hdl.handle.net/20.500.12416/6816
dc.description.abstract Dengue viruses have distinct viral regularities due to the their serotypes. Dengue can be aggravated from a simple fever in an acute infection to a presumably fatal secondary pathogen. This article investigates a deterministic-stochastic secondary dengue viral infection (SDVI) model including logistic growth and a nonlinear incidence rate through the use of piecewise fractional differential equations. This framework accounts for the fact that the dengue virus can penetrate various kinds of specific receptors. Because of the supplementary infection, the system comprises both heterologous and homologous antibody. For the deterministic case, we determine the invariant region and threshold for the aforesaid model. Besides that, we demonstrate that the suggested stochastic SDVI model yields a global and non-negative solution. Taking into consideration effective Lyapunov candidates, the sufficient requirements for the presence of an ergodic stationary distribution of the solution to the stochastic SDVI model are generated. This report basically utilizes a novel idea of piecewise differentiation and integration. This method aids in the acquisition of mechanisms, including crossover impacts. Graphical illustrations of piecewise modeling techniques for chaos challenges are demonstrated. A piecewise numerical scheme is addressed. For various cases, numerical simulations are presented. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.3934/math.2023327 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Chaotic Attractor tr_TR
dc.subject Dengue Viral Model tr_TR
dc.subject Itô Derivative tr_TR
dc.subject Numerical Solutions tr_TR
dc.subject Stochastic-Deterministic Models tr_TR
dc.title Global dynamics of deterministic-stochastic dengue infection model including multi specific receptors via crossover effects tr_TR
dc.type article tr_TR
dc.relation.journal AIMS Mathematics tr_TR
dc.contributor.authorID 234808 tr_TR
dc.identifier.volume 8 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 6466 tr_TR
dc.identifier.endpage 6503 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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