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Research Article | Open Access

Global dynamics of a delayed model with cytokine-enhanced viral infection and cell-to-cell transmission

Liang Hong1,2, Jie Li2, Libin Rong3, Xia Wang2( )
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
School of Mathematics and Statistics, Xinyang Normal University, Xinyang 464000, Henan, China
Department of Mathematics, University of Florida, Gainesville, FL 32611, USA
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Abstract

Recent studies have demonstrated the superiority of cell-to-cell transmission over cell-free virus infection, and highlighted the role of inflammatory cytokines in enhancing viral infection. To investigate their impacts on viral infection dynamics, we have proposed an HIV infection model incorporating general incidence rates, these infection modes, and two time delays. We derived the basic reproduction number and showed that it governs the existence and local stability of steady states. Through the construction of appropriate Lyapunov functionals and application of the LaSalle invariance principle, we established the global asymptotic stability of both the infection-free and infected steady states.

CLC number: 34D23, 92D30

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AIMS Mathematics
Pages 16280-16296

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Cite this article:
Hong L, Li J, Rong L, et al. Global dynamics of a delayed model with cytokine-enhanced viral infection and cell-to-cell transmission. AIMS Mathematics, 2024, 9(6): 16280-16296. https://doi.org/10.3934/math.2024788

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Received: 10 March 2024
Revised: 23 April 2024
Accepted: 30 April 2024
Published: 09 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)