We revisit a deterministic χI - F model of Codeco that is linked to endemics and epidemics in order to achieve this. A stochastic differential equation SDE for the number of infectious people I(t) that are impacted by the aquatic environment is then produced by extending this model to a stochastic jump diffusion model. The existence and uniqueness of the solution to the SDE was shown. The basic reproduction number R0 and some qualitative properties (positivity and invariant region) were found for the deterministic model. Also, the stability and the biological meaning of the end points of the endemic and disease-free equilibria were investigated.The stochastic jump diffusion model was numerically simulated by the method of Euler Maruyama to obtain sample paths of I(t). The results showed that the stochastic jump diffusion trajectories fluctuate around the deterministic trajectory of the χI - F model and are continuously differentiable, but not continuously differentiable. Moreover, it is theoretically relevant and easy to understand that the proposed stochastic jump diffusion model is applicable.
Keywords: Cholera; Stochastic; Jump Diffusion; Stability Analysis; Reproduction Number R0; Endemic Equilibrium