Dynamics Analysis of an HIV Infection Model including Infected Cells in an Eclipse Stage
Author(s) -
Shengyu Zhou,
Zhixing Hu,
Wanbiao Ma,
Fucheng Liao
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/419593
Subject(s) - ctl* , ode , stability (learning theory) , human immunodeficiency virus (hiv) , mathematics , stability theory , stage (stratigraphy) , control theory (sociology) , statistical physics , computer science , biology , physics , virology , immunology , nonlinear system , immune system , control (management) , machine learning , quantum mechanics , artificial intelligence , cd8 , paleontology
In this paper, an HIV infection model including an eclipse stage of infected cells is considered. Some quicker cells in this stage become productively infected cells, a portion of these cells are reverted to the uninfected class, and others will be latent down in the body. We consider CTL-response delay in this model and analyze the effect of time delay on stability of equilibrium. It is shown that the uninfected equilibrium and CTL-absent infection equilibrium are globally asymptotically stable for both ODE and DDE model. And we get the global stability of the CTL-present equilibrium for ODE model. For DDE model, we have proved that the CTL-present equilibrium is locally asymptotically stable in a range of delays and also have studied the existence of Hopf bifurcations at the CTL-present equilibrium. Numerical simulations are carried out to support our main results
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