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A Tuberculosis Epidemic Model with Latent and Treatment Period Time Delays in Dynamical Systems, Bifurcation Analysis and Applications

By Jay Michael R Macalalag, Elvira P De Lara-Tuprio and Timothy Robin Y Teng


In this paper; a Susceptible-Exposed-Infectious-Treated (SEIT) epidemic model with two discrete time delays for the disease transmission of tuberculosis (TB) is proposed and analyzed. The first time delay tau1 represents the time of progression of an individual from the latent TB infection to the active TB disease; and the other delay tau2 corresponds to the treatment period. We begin our mathematical analysis of the model by establishing the existence; uniqueness; nonnegativity and boundedness of the solutions. We derive the basic reproductive number R0 for the model. By LaSalle\u27s Invariance Principle; we determine the stability of the equilibrium points when the treatment success rate is equal to zero. We prove that if R0 \u3c 1; then the disease-free equilibrium is globally asymptotically stable. If R0 \u3e 1; then the disease-free equilibrium is unstable and a unique endemic equilibrium exists which is globally asymptotically stable. Numerical simulations are presented to illustrate the theoretical results

Topics: Tuberculosis, Reproductive number, Delay differential equation, Global stability, Lyapunov functional, Epidemiology, Mathematics
Publisher: 'Springer Science and Business Media LLC'
Year: 2019
DOI identifier: 10.1007/978-981-32-9832-3_6
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