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ORIGINAL RESEARCH article

Front. Appl. Math. Stat.
Sec. Dynamical Systems
Volume 10 - 2024 | doi: 10.3389/fams.2024.1396650
This article is part of the Research Topic Dynamics and Control of Human and Animal Viral Diseases: Deterministic and Stochastic Models View all articles

Fractional-Order Analysis of Temperature-and Rainfall-Dependent Mathematical Model for Malaria Transmission Dynamics

Provisionally accepted
Ademe K. Gizaw Ademe K. Gizaw *Chernet T. Deressa Chernet T. Deressa
  • College of Natural Sciences, Jimma University, Jimma, Ethiopia

The final, formatted version of the article will be published soon.

    This study proposes a temperature and rainfall fractional-order compartmental model for malaria transmission dynamics using the AB fractional operators in the Caputo sense. For the model to be stable, have a steady state, and possess biological significance, its solutions are proven to be positive. The existence and uniqueness of the model's solutions are established using the Banach fixed-point theorem. The next-generation matrix method is employed to determine the basic reproduction number of the model, whose value depends on the threshold quantity, denoted by ℳ. When ℳ ≤ 1, the basic number of the proposed fractional order model is zero, while it is shown as an expression when ℳ > 1. The model system's equilibria (both disease-free and endemic) are identified, and lemma and theorems are developed to prove their stability. Furthermore, different temperature ranges and rainfall data were used and validated with the existing literature. Numerical simulations using the Toufik-Atangana schemes with different fractional-order alpha values revealed that as the value of the fractional-order alpha approaches 1, the value of the classical model resembles that of the fractional-order model. The numerical results are promising and are certain to be helpful for future research related to fractional order models.

    Keywords: Basic Reproduction Number, Mittag-Leffler function, stability analysis, sensitivity analysis, Numerical Simulations

    Received: 06 Mar 2024; Accepted: 06 Sep 2024.

    Copyright: © 2024 Gizaw and Deressa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ademe K. Gizaw, College of Natural Sciences, Jimma University, Jimma, Ethiopia

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