O. J. PeterO. B. AkindukoF. A. OguntoluC. Y. Ishola2025-05-052018-05-03O. J. Peter, O. B. Akinduko, F. A. Oguntolu & C. Y. Ishola. (2018): Mathematical Model for the Control of Infectious Disease. Journal of Applied Sciences and Environmental Management. (22)4 :447-451 http://dx.doi.org/10.4314/jasem.v22i4.11119-836210.4314/jasem.v22i4.1http://repository.futminna.edu.ng:4000/handle/123456789/1874We proposed a mathematical model of infectious disease dynamics. The model is a system of first order ordinary differential equations. The population is partitioned into three compartments of Susceptible S(t) , Infected I(t) and Recovered R(t). Two equilibria states exist: the disease-free equilibrium which is locally asymptotically stable if Ro < 1 and unstable if Ro > 1. Numerical simulation of the model shows that an increase in vaccination leads to low disease prevalence in a population.enInfectious DiseaseEquilibrium StatesBasic Reproduction Numberjournal-article