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

Author:

Jan Rashid12,Razak Normy Norfiza Abdul1,Qureshi Sania345,Ahmad Imtiaz6,Bahramand Salma7

Affiliation:

1. Institute of Energy Infrastructure, Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional, Putrajaya Campus, Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia

2. Mathematics Research Center, Near East University North Cyprus, Mersin 99138, Turkey

3. Department of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan

4. Department of Computer Science and Mathematics, Lebanese American University, Beirut, P. O. Box 135053, Lebanon

5. Department of Mathematics, Near East University, Mersin 99138, Turkey

6. Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional, Kajang, Selangor, Malaysia

7. Department of Political Science, Bacha Khan, University Charsadda, Charsadda 24420, Pakistan

Abstract

<abstract><p>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 $ \mathcal{R}_0 $. The global sensitivity technique is used for the sensitivity test of $ \mathcal{R}_0 $ to find out the most sensitive input-factors to the reproduction parameter $ \mathcal{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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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