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A Stochastic TB Model for a Crowded Environment

Sibaliwe Maku Vyambwera () and Peter Witbooi ()

Journal of Applied Mathematics, 2018, vol. 2018, 1-8

Abstract: We propose a stochastic compartmental model for the population dynamics of tuberculosis. The model is applicable to crowded environments such as for people in high density camps or in prisons. We start off with a known ordinary differential equation model, and we impose stochastic perturbation. We prove the existence and uniqueness of positive solutions of a stochastic model. We introduce an invariant generalizing the basic reproduction number and prove the stability of the disease-free equilibrium when it is below unity or slightly higher than unity and the perturbation is small. Our main theorem implies that the stochastic perturbation enhances stability of the disease-free equilibrium of the underlying deterministic model. Finally, we perform some simulations to illustrate the analytical findings and the utility of the model.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:3420528

DOI: 10.1155/2018/3420528

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