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.

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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
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article

Deterministic and Stochastic Nonlinear Schistosomiasis Model with Delay and Vaccination

Modeste N’zi, Brou Edmond Narcisse YAPI
2 citations
Journal of Advances in Mathematics and Computer Science
Parasites and Host Interactions
1.03
article

Deterministic and Stochastic Nonlinear Schistosomiasis Model with Delay and Vaccination

Modeste N’zi, Brou Edmond Narcisse YAPI
article en
2 citations

Abstract

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.

Journal of Advances in Mathematics and Computer ScienceVol. 39(12)
Université Félix Houphouët-Boigny (CI)
Good health and well-being
Openalex Percentile: Top 23%
Parasites and Host Interactions
1.03
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