The Hepatitis C virus (HCV) is the global burden and becomes one of the pandemic affecting about 71 million in chronic infected individuals. We constructed a HCV transmission dynamics model and used it to assess control strategies. We have included the factors that affect the transmission of HCV including those who are susceptible, latent, acute infected chronic infected, inpatients and recovered as shown. Conventional approaches, such as testing, treatment and harm reduction have only marginally reduced the spread of HCV. This paper analyses shortcomings of a deterministic compartmental model as it captures HCV epidemiology considering literature and country data. We check for the positivity of the model at all times t ≥ 0. The analysis reveals that the virus can be eradicated in all epidemiological compartments apart from susceptible individuals. The model’s reproductive number confirm global stability and the eventual extinction of Hepatitis C through targeted governmental action. Sensitivity analysis identifies injection drug use and poor healthcare infection control as primary transmission drivers. By balancing transmission reduction (50%) with increased recovery coverage (80%), simulations demonstrate that this optimal control strategy can reduce chronic infections by 55% over 40 months.
Akeremale et al. (Fri,) studied this question.