Simulation on The Mathematical Model for the Control Of Hepatitis B Virus-Hepatitis D Virus (HBV-HDV) Co-infection Transmission Dynamics in a Given Population

This paper investigates the impact of various parameters mathematical model for Hepatitis B virus-Hepatitis D virus (HBV-HDV) co-infection with controls (awareness, vaccine and therapy). It establishes that is biologically meaningful epidemiologically well posed. Furthermore, simulations are carried out on equations using MATLAB results indicate that; when $c_1$(awareness) increase from $0.08$ to $0.70$, then number exposed HB individuals in population will also increase. Conversely, we notice a drastic decrease HBD $0.70$. Again, observe treated $c$(therapy) $0.50$. Similarly, an recovered upon We therefore conclude awareness, therapy good measure which can be used effectively control HBV-HDV population. However, awareness better strategies than therapy. Hence, these simulation provide best framework disease;