Dynamics Analysis and Simulation of a Modified HIV Infection Model with a Saturated Infection Rate

This paper studies a modified human immunodeficiency virus (HIV) infection differential equation model with a saturated infection rate. It is proved that if the basic virus reproductive number R0 of the model is less than one, then the infection-free equilibrium point of the model is globally asymptotically stable; if R0 of the model is more than one, then the endemic infection equilibrium point of the model is globally asymptotically stable. Based on the clinical data from HIV drug resistance database of Stanford University, using the proposed model simulates the dynamics of the two groups of patients’ anti-HIV infection treatment. The numerical simulation results are in agreement with the evolutions of the patients’ HIV RNA levels. It can be assumed that if an HIV infected individual’s basic virus reproductive number R0<1 then this person will recover automatically; if an antiretroviral therapy makes an HIV infected individual’s R0