Mayowa M. OjoOlumuyiwa James PeterEmile Franc Doungmo GoufoHasan S. PanigoroFestus Abiodun Oguntolu2025-05-212022-04-22M. M. Ojo, O. J. Peter, E. F. D. Goufo, H. S. Panigoro & F. A. Oguntolu. (2022). Mathematical model for control of tuberculosis epidemiology J. Appl. Math. Comput. (2022). 1-19. https://doi.org/10.1007/s12190-022-01734-x.1598-58651865-208510.1007/s12190-022-01734-xhttp://repository.futminna.edu.ng:4000/handle/123456789/2030Tuberculosis is an infectious disease caused by bacteria that most commonly affects the lungs. Due to its high mortality, it remains a global health issue, and it is one of the leading causes of death in the majority of sub-Saharan African countries. We formulate a six-compartmental deterministic model to investigate the impact of vaccination on the dynamics of tuberculosis in a given population. The qualitative behaviors of the presented model were examined, and the respective threshold quantity was obtained. The tuberculosis-free equilibrium of the system is said to be locally asymptotically stable when the effective reproduction number and unstable otherwise. Furthermore, we examined the stability of the endemic equilibrium, and the conditions for the existence of backward bifurcation are discussed. A numerical simulation was performed to demonstrate and support the theoretical findings. The result shows that reducing the effective contact with an infected person and enhancing the rate of vaccinating susceptible individuals with high vaccine efficacy will reduce the burden of tuberculosis in the population.enTuberculosis modelEffective reproduction numberStability analysisBifurcation analysisjournal-article