Optimal Control Strategies and Sensitivity Analysis of an HIV/AIDS-Resistant Model with Behavior Change

• Main Authors: Parumasur, N. (Author), Rabiu, M. (Author), Willie, R. (Author)
• Format: Article
• Language: English
• Published: Springer Science and Business Media B.V. 2021
• Subjects: 3D surface plot; Africa; ART; basic reproduction number; Basic Reproduction Number; behavior; Behavior change; biological model; computer simulation; Computer Simulation; data; disease prevalence; disease transmission; HIV Infections; human; Human immunodeficiency virus infection; Humans; Models, Biological; Nutritional supplementation; reproduction; Resistance; Sensitivity analysis; simulation; South Africa
• Online Access: View Fulltext in Publisher

 Despite several research on HIV/AIDS, it is still incumbent to investigate more effective control measures to mitigate its infection level. Therefore, we introduce an HIV/AIDS-resistant model with behavior change and study its basic properties. In order to determine the most sensitive parameters that are responsible for disease transmission with respect to the basic reproduction number and those responsible for disease prevalence with respect to the endemic equilibrium, the sensitivity analysis was established and it was confirmed that the influx rate of people into the infected population and total abstinence from all risk practices and endemic areas are some of the most sensitive parameters for disease spread and disease eradication, respectively. Furthermore, by considering controls u1 denoting the government’s intervention in promoting and encouraging behavior change, u2 representing intake of balanced nutritional supplementation, and u3 connoting antiretroviral therapy (ART), an optimal control problem was developed and analyzed. Before the establishment of the necessary conditions of the optimal control using Pontryagin’s Maximum Principle, we proved the existence of the optimal control triplet (u1(t) , u2(t) , u3(t) ∈ Φ , where Φ is the control set at time t,) which has been neglected by many researchers in recent years. Using the Runge–Kutta scheme, the optimal control problem was solved to understand the best combination of control strategies. Using the demographic and epidemiological data for South Africa on HIV/AIDS, a numerical simulation was carried out and results are presented on 3D surface plots. The obtained results suggested that the combination of all the considered control measures is the best method to ensure disease eradication. © 2021, Springer Nature B.V.