Stability analysis of age-structured viral infection dynamics with cell-to-cell transmission and humoral immunity

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Authors: Chenxi Ding, Zhixiang Dai, Xiaoqun Li, Changlei Tan, Nurbek Azimaqin, Ruixia Yuan, Yong Li
Cited by: 0
References: 43

Abstract

Abstract This study investigates a viral infection dynamics model that incorporates cell-to-cell transmission, latency, and a generalized humoral immune response. We rigorously establish the existence and uniqueness, boundedness, and asymptotic smoothness of the model’s semi-flow solution, discuss the local and global stability of equilibria, and identify two key thresholds ( $\mathcal{R}_{0}$ R 0 and $\mathcal{R}_{1}$ R 1 ) that govern the model’s global dynamics. To demonstrate that HIV transmission may indeed exhibit the described dynamic behaviours, we fit viral load data from two HIV cases, revealing distinct immune states in the two patients.

Fields of Study & Subjects

Mathematical and Theoretical Epidemiology and Ecology Models Mathematical Biology Tumor Growth COVID-19 epidemiological studies

Publication details

Journal / source
Advances in Continuous and Discrete Models
Volume
2026
Issue
1
Publication date
11 February 2026
Language
EN