Complex dynamics of a delayed HIV infection model involving latently infected cells and impaired immunity

This paper explores the dynamics analysis of an HIV model with delayed effects, latently infected cells, and impaired immunity. The model incorporates two different delays: the intracellular delay and the CTL response delay. First, the local stability of equilibria is studied through discussing two thresholds. Subsequently, we establish sufficient conditions for the global stability of equilibria based on Lyapunov function and LaSalle’s invariance principle. Numerical simulations confirm the theoretical analysis and further reveal the complex dynamic behaviors of the immune infection equilibrium in the presence of two delays. Furthermore, sensitivity analysis on the model parameters is used to identify the highly influential factors affecting two reproduction numbers.

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Publication Details

Journal
International Journal of Biomathematics
Published
2026-04-07
DOI
https://doi.org/10.1142/s1793524526500385
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Complex dynamics of a delayed HIV infection model involving latently infected cells and impaired immunity

Dongmei Fan, Jinling Wang, Zihao Hu
International Journal of Biomathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Complex dynamics of a delayed HIV infection model involving latently infected cells and impaired immunity

Dongmei Fan, Jinling Wang, Zihao Hu
article en

Abstract

This paper explores the dynamics analysis of an HIV model with delayed effects, latently infected cells, and impaired immunity. The model incorporates two different delays: the intracellular delay and the CTL response delay. First, the local stability of equilibria is studied through discussing two thresholds. Subsequently, we establish sufficient conditions for the global stability of equilibria based on Lyapunov function and LaSalle’s invariance principle. Numerical simulations confirm the theoretical analysis and further reveal the complex dynamic behaviors of the immune infection equilibrium in the presence of two delays. Furthermore, sensitivity analysis on the model parameters is used to identify the highly influential factors affecting two reproduction numbers.

International Journal of Biomathematics
Anhui Agricultural University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 24%
Mathematical and Theoretical Epidemiology and Ecology Models
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