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Stochastic Model And Analysis Of The Dynamics Of Tuberculosis
In this work a stochastic model is developed and analyzed for the dynamics of Tuberculosis. The model, which is a multidimensional diffusion process, includes susceptible, latent, infected and treated or recovered individuals. The model used in this work was based on a deterministic model. The model was modified by introducing a vaccination parameter. The resulting deterministic model was transformed into a stochastic model and solved with the aid of MATLAB. Real data for the simulation are based on the immunization exercise administered on 41 children at Ahmadu Bello University Teaching Hospital (ABUTH), Zaria between the months of November and December, 2003. The result shows that increase
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