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Research Article | Open Access

Dynamics analysis of dengue fever model with harmonic mean type under fractal-fractional derivative

Khaled A. Aldwoah1Mohammed A. Almalahi2Kamal Shah3,4Muath Awadalla5Ria H. Egami6( )
Department of Mathematics, Faculty of Science, Islamic University of Madinah, Al Madinah 42351, Saudi Arabia
Department of Mathematics, Hajjah University, Hajjah, Yemen
Department of Mathematics, University of Malakand, Chakdara Dir (Lower), 18000 Khyber Pakhtunkhawa, Pakistan
Department of Computer Science and Mathematics, Lebanese American University, Lebanon
Department of Mathematics and Statistics, College of Science, King Faisal University, Hafuf 31982, Saudi Arabia
Department of Mathematics, College of Science and Humanities in Sulail, Prince Sattam Bin Abdulaziz University, Saudi Arabia
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Abstract

Dengue is a viral illness transmitted by Aedes mosquitoes and is a significant global threat. In this study, we developed a model of the dengue epidemic that incorporates larvicide and adulticide, as well as the harmonic mean incidence rate under fractal-fractional derivatives. We examined various theoretical aspects of the model, including nonnegativity, boundedness, existence, uniqueness, and stability. We computed the basic reproduction number 0 using the next-generation matrix. The model has two disease-free equilibriums, a trivial equilibrium, and a biologically realistic, along with one endemic equilibrium point. These findings enhanced our understanding of dengue transmission, providing valuable insights for awareness campaigns, control strategies, intervention approaches, decision support, guiding public health planning, and resource allocation to manage dengue effectively.

CLC number: 92D30, 26A33, 34D20, 34Cxx, 92D30, 65C05

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AIMS Mathematics
Pages 13894-13926

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Cite this article:
Aldwoah KA, Almalahi MA, Shah K, et al. Dynamics analysis of dengue fever model with harmonic mean type under fractal-fractional derivative. AIMS Mathematics, 2024, 9(6): 13894-13926. https://doi.org/10.3934/math.2024676

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Received: 09 February 2024
Revised: 23 March 2024
Accepted: 02 April 2024
Published: 16 April 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)