双稳态
可识别性
霍普夫分叉
分叉
人类免疫缺陷病毒(HIV)
非线性系统
数学
统计物理学
病毒载量
应用数学
理论(学习稳定性)
生物系统
生物
物理
控制理论(社会学)
免疫学
计算机科学
量子力学
统计
机器学习
人工智能
控制(管理)
作者
Stephen Pankavich,Nathan Neri,Deborah Shutt
标识
DOI:10.48550/arxiv.1910.06280
摘要
Recent clinical studies have shown that HIV disease pathogenesis can depend\nstrongly on many factors at the time of transmission, including the strength of\nthe initial viral load and the local availability of CD4+ T-cells. In this\narticle, a new within-host model of HIV infection that incorporates the\nhomeostatic proliferation of T-cells is formulated and analyzed. Due to the\neffects of this biological process, the influence of initial conditions on the\nproliferation of HIV infection is further elucidated. The identifiability of\nparameters within the model is investigated and a local stability analysis,\nwhich displays additional complexity in comparison to previous models, is\nconducted. The current study extends previous theoretical and computational\nwork on the early stages of the disease and leads to interesting nonlinear\ndynamics, including a parameter region featuring bistability of infectious and\nviral clearance equilibria and the appearance of a Hopf bifurcation within\nbiologically relevant parameter regimes.\n
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