• Otache Innocent Ogwuche
  • Ephraim Kator Iortyer
  • Alex Emonyi
  • Michael Ali
Keywords: Deterministic model, Stochastic model, Stochastic Differential Equation, Tuberculosis


Understanding dynamics of an infectious disease helps in designing appropriate strategies for containing its spread in a population. In this work, a deterministic and stochastic model of the transmission dynamics of Tuberculosis is developed and analyzed. The models involve the Susceptible, Exposed, Infectious and Recovered individuals. We computed the basic reproduction number  and showed that for, the disease-free equilibrium is globally asymptotically stable. The resulting deterministic model was transformed into an equivalent stochastic model resulting in stochastic differential equation. The drift coefficient, the covariance matrix and the diffusion matrix were determined using the method proposed by Allen et al. (2008).


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How to Cite
Ogwuche O. I., Iortyer E. K., Emonyi A., & Ali M. (2023). A STOCHASTIC DIFFERENTIAL EQUATION (SDE) BASED MODEL FOR THE SPREAD OF TUBERCULOSIS. FUDMA JOURNAL OF SCIENCES, 7(5), 9 - 17. https://doi.org/10.33003/fjs-2023-0705-1990