title: Global stability of a multiple delayed viral infection model with general incidence rate and an application to HIV infection.
abstract: In this paper, the dynamical behavior of a viral infection model with general incidence rate and two time delays is studied. By using the Lyapunov functional and LaSalle invariance principle, the global stabilities of the infection-free equilibrium and the endemic equilibrium are obtained. We obtain a threshold of the global stability for the uninfected equilibrium, which means the disease will be under control eventually. These results can be applied to a variety of viral infections of disease that would make it possible to devise optimal treatment strategies. Numerical simulations with application to HIV infection are given to verify the analytical results.
authors: Department of Mathematics, Beijing Technology and Business University, Beijing, 100048, China. jyslt@163.com.
authors: Yu
authors: Y
authors: Ji
mesh_terms: D003198:Computer Simulation; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006678:HIV / Q000502:physiology*; D015658:HIV Infections / Q000453:epidemiology* / Q000821:virology*; D006801:Humans; D015994:Incidence; D008954:Models, Biological; D015233:Models, Statistical; D018570:Risk Assessment / Q000379:methods; D019562:Viral Load / Q000706:statistics & numerical data*