Dynamical analysis and design of computational methods for nonlinear stochastic leprosy epidemic model

This article presents the dynamical analysis of stochastic leprosy epidemic model. Positivity and boundedness are criteria used in deterministic A primary technique is known as Euler Maruyama solution said The standard computational methods will evaluate design stability efficiency based on chosen criteria. traditional like Runge Kutta fail to restore essential features biological problems. However, our proposed approach, non-standard finite difference (NSFD), found be efficient, cost-effective, accommodates all desired feasible properties. Our method achieves all-time convergence against backdrop other classical techniques that perform conditionally or over a long period. In end, comparison between this scheme existing ones reviews novelty approach.