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Hopf bifurcation in a HIV model with a quadratic logistic growth term
Xinyue Fan 1, Claude-Michel Brauner ( ) 1, 2
(2010-11-16)

We consider a model of disease dynamics in the modeling of Human Immunodeficiency Virus (HIV). This model consists of three ODEs for the concentrations of the target T cells, the infected cells and the virus particles. There are two bifurcation parameters, $N$, the total number of virions produced by one infected cell, and $r$, the logistic parameter which controls the growth rate. This paper focuses on the stability of the uninfected and infected steady state. We identify two domains, $\mathscr U$ and $\mathscr I$, where the uninfected equilibrium is respectively asymptotically stable and unstable. The infected equilibrium is asymptotically stable in $\mathscr I$, except in a region $\mathscr P$ where we prove its instability. Hopf bifurcations occur at the interface. Numerical results are presented.
1:  School of Mathematical Sciences
Xiamen University
2:  Institut de Mathématiques de Bordeaux (IMB)
CNRS : UMR5251 – Université Sciences et Technologies - Bordeaux I – Université Victor Segalen - Bordeaux II
Mathematics/Analysis of PDEs

Mathematics/Classical Analysis and ODEs
Stability – Hopf bifurcation – HIV modeling
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