title: Mathematical Model for an Effective Management of HIV Infection.
abstract: Human immunodeficiency virus infection destroys the body immune system, increases the risk of certain pathologies, damages body organs such as the brain, kidney, and heart, and causes death. Unfortunately, this infectious disease currently has no cure; however, there are effective retroviral drugs for improving the patients' health conditions but excessive use of these drugs is not without harmful side effects. This study presents a mathematical model with two control variables, where the uninfected CD4(+)T cells follow the logistic growth function and the incidence term is saturated with free virions. We use the efficacy of drug therapies to block the infection of new cells and prevent the production of new free virions. Our aim is to apply optimal control approach to maximize the concentration of uninfected CD4(+)T cells in the body by using minimum drug therapies. We establish the existence of an optimal control pair and use Pontryagin's principle to characterize the optimal levels of the two controls. The resulting optimality system is solved numerically to obtain the optimal control pair. Finally, we discuss the numerical simulation results which confirm the effectiveness of the model.
authors.affiliation: Department of Mathematics and Statistics, Bowen University, Iwo 232101, Nigeria; MaSIM Focus Area, North-West University, Mmabatho 2735, South Africa.
authors.forename: Oladotun Matthew
authors.identifier: 0000-0002-0839-7896
authors.initials: OM
authors.lastname: Ogunlaran
authors.affiliation: MaSIM Focus Area, North-West University, Mmabatho 2735, South Africa.
authors.forename: Suares Clovis
authors.initials: SC
authors.lastname: Oukouomi Noutchie
mesh_terms: D019380:Anti-HIV Agents / Q000627:therapeutic use*; D015496:CD4-Positive T-Lymphocytes / Q000276:immunology / Q000821:virology; D003198:Computer Simulation; D015658:HIV Infections / Q000188:drug therapy / Q000276:immunology / Q000821:virology; D006801:Humans; D015994:Incidence; D008962:Models, Theoretical
chemical_list: D019380:Anti-HIV Agents