Stability and Bifurcation Analysis of Measles Model

O. A. Adeboye, O. A Odebiyi, J. K. Oladejo, A. A. Taiwo, E.O. Elijah and O. A. Olajide
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O. A. Adeboye: Department of Pure and Applied Mathematics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso, Nigeria.
O. A Odebiyi: Department of Pure and Applied Mathematics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso, Nigeria.
J. K. Oladejo: Department of Pure and Applied Mathematics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso, Nigeria.
A. A. Taiwo: Department of Pure and Applied Mathematics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso, Nigeria.
E.O. Elijah: Department of Mathematics, Federal University of Technology, P.M.B. 65, Minna Niger state, Nigeria.
O. A. Olajide: Department of Mathematics, Federal University of Technology, P.M.B. 65, Minna Niger state, Nigeria.

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 9, 507-522

Abstract: A six compartmental deterministic mathematical model, governed by a system of ordinary differential equations for measles was formulated in other to study and analyze the transmission dynamics of measles in human population. The model was shown to be mathematically and epidemiologically meaningful. The basic reproduction number of the model was obtained and global stability of the disease-free equilibrium and endemic equilibrium were obtained and shown to be asymptotically stable, whenever the basic reproduction and unstable if otherwise. More so, if then the endemic equilibrium of the model equation is globally asymptotically stable The effect of some parameters of the model relatives to the basic reproduction number was calculated using the normalized forward sensitivity indices, and it was shown that increase in the parameters with negative indices will reduce the value of the basic Reproduction number, while increase in those with positive indices will increase the value of basic reproduction number. The bifurcation analysis was also carried out and the model was shown to exhibit backward bifurcation which indicates that is no longer sufficient for effective disease control. The numerical result shows that isolation of infective plays a major role in reducing the transmission of the disease in the population.

Date: 2024
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