Sensitivity and optimal control analysis of HIV/AIDS model with two different stages of infection subpopulation

Abstract

We study optimal control analysis of HIV/AIDS model with two different stages of infection subpopulation. There are two controls, antiretroviral (ARV) treatment is given to HIV-infected subpopulation, and HAART (highly active antiretroviral treatment) is given to full-blown AIDS subpopulation. Before that, we analyze the sensitivity of parameters which can be used to determine the most parameter take effect in the spread of HIV virus. We apply the sensitivity analysis to all the parameters appear in the reproduction number. Furthermore, we apply optimal control theory to minimize HIV-infected and full-blown AIDS subpopulation, and the cost related to the implementation of control strategies using the Pontryagin's Minimum Principle. We prove an existence of a optimal control pair. Numerical solution is conducted by solving the optimally system using the sweep backward and forward method. The results show that giving control pair in the model can decrease the infected and the full-blown AIDS subpopulations significantly.

Mathematical Modeling of the Co-Infection Dynamics of HIV and Tuberculosis Incorporating Inconsistency in HIV Treatment

“…After destroying the immune system, HIV renders it incapable of performing its protective functions to the human body. It destroys this system by decreasing the number of T-cells that are responsible for fighting infections [16]. It reduces their number as it progresses in stages and hence the reason for calling it a retrovirus.…”