Analysis of an HIV latent infection model with cell-to-cell transmission and multiple drug classes

In this paper, we investigate an HIV latent infection model that incorporates cell-to-cell transmission and multiple drug classes, extending the model proposed by Areej Alshorman et al. (2022). We derive the basic reproduction number R 0 for the model and establish the existence and local stability of its equilibria. By constructing appropriate Lyapunov functions , we analyze the global stability of these equilibria, with R 0 serving as the threshold parameter. Specifically, when R 0 < 1 , the infection-free equilibrium is globally asymptotically stable, whereas when R 0 > 1 , the infectious equilibrium is globally asymptotically stable.

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Publication Details

Journal
Applied Mathematics Letters
Published
2025-01-29
DOI
https://doi.org/10.1016/j.aml.2025.109478
Citations
1
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.04

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article

Analysis of an HIV latent infection model with cell-to-cell transmission and multiple drug classes

Libin Rong, Xia Wang, Yi‐Chao Huang, Xin Meng
1 citations
Applied Mathematics Letters
HIV Research and Treatment
1.04
article

Analysis of an HIV latent infection model with cell-to-cell transmission and multiple drug classes

Libin Rong, Xia Wang, Yi‐Chao Huang, Xin Meng
article en
1 citations

Abstract

In this paper, we investigate an HIV latent infection model that incorporates cell-to-cell transmission and multiple drug classes, extending the model proposed by Areej Alshorman et al. (2022). We derive the basic reproduction number R 0 for the model and establish the existence and local stability of its equilibria. By constructing appropriate Lyapunov functions , we analyze the global stability of these equilibria, with R 0 serving as the threshold parameter. Specifically, when R 0 < 1 , the infection-free equilibrium is globally asymptotically stable, whereas when R 0 > 1 , the infectious equilibrium is globally asymptotically stable.

Applied Mathematics LettersVol. 164
Xinyang Normal University (CN), University of Florida (US)
National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Henan Province
Good health and well-being
Openalex Percentile: Top 28%
HIV Research and Treatment
1.04
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Analysis of an HIV latent infection model with cell-to-cell transmission and multiple drug classes — Libin Rong, Xia Wang, et al. · Applied Mathematics Letters (2025) | TGRS Research Map | TGRS