Deterministic and Stochastic Nonlinear Schistosomiasis Model with Delay and Vaccination
A worldwide approach is needed to combat schistosomiasis, one that addresses the disease’s mollusc problem, treats parasitised individuals, and enhances hygienic circumstances by getting rid of human waste. This paper presents a deterministic SIR delayed epidemiological model with vaccination that accounts for the dynamics of parasites in both molluscs and humans. Then, we will alter some of the coefficients to create a new stochastic SIR model that includes vaccination and delay, so expanding the range of possible control tactics. Using the Lyapunov function, we may analyse the above model to determine the necessary and sufficient conditions for the regularity, existence, and uniqueness of a global solution. Furthermore, we examine the stochastic asymptotic stability of both the endemic and disease-free equilibrium points in this model. Finally, we present applications that highlight our overall findings.
Authors
- Modeste N’zi (ORCID: https://orcid.org/0000-0001-5535-6483)
- Brou Edmond Narcisse YAPI
Institutions
- Université Félix Houphouët-Boigny (CI)
Publication Details
- Journal
- Journal of Advances in Mathematics and Computer Science
- Published
- 2024-11-26
- DOI
- https://doi.org/10.9734/jamcs/2024/v39i121948
- Citations
- 2
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 1.03