Dynamics of an HIV latent infection model with age structures and multiple infection modes

In order to study the influence of different infection modes on HIV infection, an age-structured model incorporating cell-free, cell-to-cell, and cytokine-enhanced viral infection modes is proposed. This model also considers latently infected CD4[Formula: see text] T cells and general incidence rates. The expression of the basic reproduction number [Formula: see text] is derived, which includes the contributions from all three infection modes. [Formula: see text] serves as the parameter of a threshold dynamics. The threshold dynamics is established by employing the Fluctuation Lemma and the approach of Lyapunov functionals after showing the asymptotic smoothness and uniform persistence of the solution semiflow. Numerical simulations are provided to discuss the effects of the three infection modes on the viral load.

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Publication Details

Journal
International Journal of Biomathematics
Published
2025-11-20
DOI
https://doi.org/10.1142/s1793524525501530
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Dynamics of an HIV latent infection model with age structures and multiple infection modes

Yuming Chen, Xia Wang, Jie Li
International Journal of Biomathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamics of an HIV latent infection model with age structures and multiple infection modes

Yuming Chen, Xia Wang, Jie Li
article en

Abstract

In order to study the influence of different infection modes on HIV infection, an age-structured model incorporating cell-free, cell-to-cell, and cytokine-enhanced viral infection modes is proposed. This model also considers latently infected CD4[Formula: see text] T cells and general incidence rates. The expression of the basic reproduction number [Formula: see text] is derived, which includes the contributions from all three infection modes. [Formula: see text] serves as the parameter of a threshold dynamics. The threshold dynamics is established by employing the Fluctuation Lemma and the approach of Lyapunov functionals after showing the asymptotic smoothness and uniform persistence of the solution semiflow. Numerical simulations are provided to discuss the effects of the three infection modes on the viral load.

International Journal of Biomathematics
Xinyang Normal University (CN), Wilfrid Laurier University (CA)
Openalex Percentile: Top 54%
Mathematical and Theoretical Epidemiology and Ecology Models
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