Fractional-order analysis of temperature- and rainfall-dependent mathematical model for malaria transmission dynamics

Autor: Ademe Kebede Gizaw, Chernet Tuge Deressa
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
Druh dokumentu: article
ISSN: 2297-4687
DOI: 10.3389/fams.2024.1396650
Popis: Malaria remains a substantial public health challenge and economic burden globally. Currently, malaria has been declared as endemic in 85 countries. In this study, we developed and analyzed a fractional-order mathematical model for malaria transmission dynamics that incorporates variability of temperature and rainfall using Caputo-type AB operators. The existence and uniqueness of the model's solutions were established using the Banach fixed-point theorem. The model system's equilibria (both disease-free and endemic) were identified, and lemmas and theorems were developed to prove their stability. Furthermore, we used different temperature ranges and rainfall data, validating them against existing literature. Numerical simulations using the Toufik-Atangana schemes with various fractional-order alpha values revealed that as the value of alpha approaches 1, the behavior of the fractional-order model converges to that of the classical model. The numerical results are promising and are expected to be valuable for future research related to fractional-order models.
Databáze: Directory of Open Access Journals