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Research Article | Open Access

Modeling Rift Valley fever transmission: insights from fractal-fractional dynamics with the Caputo derivative

Rashid Jan1,2Normy Norfiza Abdul Razak1Sania Qureshi3,4,5Imtiaz Ahmad6( )Salma Bahramand7
Institute of Energy Infrastructure, Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia
Mathematics Research Center, Near East University North Cyprus, Mersin 99138, Turkey
Department of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan
Department of Computer Science and Mathematics, Lebanese American University, Beirut, P. O. Box 135053, Lebanon
Department of Mathematics, Near East University, Mersin 99138, Turkey
Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia
Department of Political Science, Bacha Khan, University Charsadda, Charsadda 24420, Pakistan
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Abstract

The infection caused by Rift Valley fever (RVF) virus is a dangerous vector-borne disease found in humans, domestic, and wild animals. It is transferred through insect vectors to ruminant host and then spread through direct contact of infected animals with their body fluid or organs. In this paper, a fractal-fractional model for the transmission of RVF in the Caputo's sense was presented. We analyzed the model and determined the basic reproduction number through the next-generation matrix technique, indicated by R 0 . The global sensitivity technique is used for the sensitivity test of R 0 to find out the most sensitive input-factors to the reproduction parameter R 0 . The existence and uniqueness results of the proposed fractal-fractional model were established. Then, we presented the fractal-fractional dynamics of the proposed RVF model through a novel numerical scheme under the fractal-fractional Caputo operator. In the end, the recommended model of RVF was highlighted numerically with the variation of different input parameters of the system. The key factors of the system were highlighted to the policymakers for the control and prevention of the infection.

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Mathematical Modelling and Control
Pages 163-177

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Cite this article:
Jan R, Razak NNA, Qureshi S, et al. Modeling Rift Valley fever transmission: insights from fractal-fractional dynamics with the Caputo derivative. Mathematical Modelling and Control, 2024, 4(2): 163-177. https://doi.org/10.3934/mmc.2024015

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Received: 07 September 2023
Revised: 17 December 2023
Accepted: 29 December 2023
Published: 15 May 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)