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

Authors : Remigius Okeke AJA, Titus CHİNEBU, Godwin MBAH

Pages : 72-88

Doi:10.33187/jmsm.943746

View : 20 | Download : 6

Publication Date : 2021-08-31

Article Type : Research Paper

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