Dynamical analysis of a latent HIV infection model with general incidence and multiple delays

In this paper, we propose a general latent HIV infection model with general incidence and three distributed delays. We start with the analysis of the proposed model by establishing the positivity and boundedness of solutions and calculating basic reproduction number R0. Then, we show that the infection-free equilibrium is globally asymptotically stable when R0<1 (is globally attractive when R0=1), while the disease is uniformly persistent when R0>1. In addition, the global stability of the infection equilibrium is also derived under certain conditions. Furthermore, we apply the geometric method to analyze the obtained characteristic equation and find that stability of the infection equilibrium may change in some special cases when the assumptions are not valid. Sensitive analysis is performed to investigate the dependence of R0 on parameters. Applications and numerical simulations are also in accordance with the qualitative results.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0276462
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.88
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article

Dynamical analysis of a latent HIV infection model with general incidence and multiple delays

Lan Zou, Yu Yang
1 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
article

Dynamical analysis of a latent HIV infection model with general incidence and multiple delays

Lan Zou, Yu Yang
article en
1 citations

Abstract

In this paper, we propose a general latent HIV infection model with general incidence and three distributed delays. We start with the analysis of the proposed model by establishing the positivity and boundedness of solutions and calculating basic reproduction number R0. Then, we show that the infection-free equilibrium is globally asymptotically stable when R0<1 (is globally attractive when R0=1), while the disease is uniformly persistent when R0>1. In addition, the global stability of the infection equilibrium is also derived under certain conditions. Furthermore, we apply the geometric method to analyze the obtained characteristic equation and find that stability of the infection equilibrium may change in some special cases when the assumptions are not valid. Sensitive analysis is performed to investigate the dependence of R0 on parameters. Applications and numerical simulations are also in accordance with the qualitative results.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(9)
Shanghai Lixin University of Accounting and Finance (CN), Capital Normal University (CN)
Openalex Percentile: Top 12%
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
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