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A Dynamical and Sensitivity Analysis of the Caputo Fractional-Order Ebola Virus Model: Implications for Control Measures

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dc.contributor.author Ahmed, Idris
dc.contributor.author Yusuf, Abdullahi
dc.contributor.author Tariboon, Jessada
dc.contributor.author Muhammad, Mubarak
dc.contributor.author Jarad, Fahd
dc.contributor.author Mikailu, Badamasi Bashir
dc.date.accessioned 2024-05-24T11:27:52Z
dc.date.available 2024-05-24T11:27:52Z
dc.date.issued 2023
dc.identifier.citation Ahmed, Idris...et al. "A Dynamical and Sensitivity Analysis of the Caputo Fractional-Order Ebola Virus Model: Implications for Control Measures", Science and Technology Asia, Science and Technology Asia, Vol. 28, No. 4, pp. 26-37. tr_TR
dc.identifier.issn 2586-9027
dc.identifier.uri http://hdl.handle.net/20.500.12416/8397
dc.description.abstract The recurrence of outbreaks in cases of Ebola virus among African countries remains one of the greatest issues of concern. Practices such as hunting or consumption of contam-inated bush meat, unsafe funeral practices, and environmental contamination have all been implicated as possible contributors. This paper investigates the transmission dynamics of the Ebola virus model in the setting of a Caputo fractional-order derivative that accounts for both direct and indirect transmissions of the virus. By employing the concept of fixed theorems, we derived the existence and uniqueness results of the model. Moreover, we analyzed the forward normalized sensitivity indices to identify the critical parameters for controlling the infection and found that reducing the contact rate between infected individuals and susceptible vectors is vital to limiting the virus’s spread. Comparing the proposed fractional-order model with those of the previously developed integer-order model numerically, we found that the proposed model provides more reliable information on the model’s dynamics. Thus, we conclude that the Caputo fractional-order operator is a precise tool for describing the proposed model behavior and can help understand the complexities of Ebola virus disease outbreaks. © 2023, Thammasat University. All rights reserved. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Ebola Virus tr_TR
dc.subject Fixed Point Theorems tr_TR
dc.subject Mathematical Model tr_TR
dc.subject Numerical Simulations tr_TR
dc.subject Sensitivity Analysis tr_TR
dc.title A Dynamical and Sensitivity Analysis of the Caputo Fractional-Order Ebola Virus Model: Implications for Control Measures tr_TR
dc.type article tr_TR
dc.relation.journal Science and Technology Asia tr_TR
dc.contributor.authorID 234808 tr_TR
dc.identifier.volume 28 tr_TR
dc.identifier.issue 4 tr_TR
dc.identifier.startpage 26 tr_TR
dc.identifier.endpage 37 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümü tr_TR


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