Schistosomiasis Model Incorporating Snail Predator as Biological Control Agent

Author:

Nur WahyudinORCID,Trisilowati ORCID,Suryanto AgusORCID,Kusumawinahyu Wuryansari MuhariniORCID

Abstract

Schistosomiasis is a parasitic disease caused by the schistosoma worm. A snail can act as the intermediate host for the parasite. Snail-population control is considered to be an effective way to control schistosomiasis spread. In this paper, we discuss the schistosomiasis model incorporating a snail predator as a biological control agent. We prove that the solutions of the model are non-negative and bounded. The existence condition of equilibrium points is investigated. We determine the basic reproduction number when the predator goes to extinction and when the predator survives. The local stability condition of disease-free equilibrium point is proved using linearization, and the Lienard–Chipart and Routh–Hurwitz criteria. We use center-manifold theory to prove the local stability condition of the endemic equilibrium points. Furthermore, we constructed a Lyapunov function to investigate the global stability condition of the disease-free equilibrium points. To support the analytical results, we presented some numerical simulation results. Our findings suggest that a snail predator as a biological control agent can reduce schistosomiasis prevalence. Moreover, the snail-predator birth rate plays an essential role in controlling schistosomiasis spread.

Funder

Direktorat Riset Dan Pengabdian Kepada Masyarakat

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonlinear Dynamics;Mathematics;2022-07-30

2. Dynamical Analysis of a Modified Epidemic Model with Saturated Incidence Rate and Incomplete Treatment;Axioms;2022-05-27

3. Schistosomiasis model with treatment, habitat modification and biological control;Mathematical Biosciences and Engineering;2022

4. Optimal control problem and cost-effectiveness analysis of schistosomiasis model;THE 4TH INTERNATIONAL CONFERENCE ON NUCLEAR ENERGY TECHNOLOGIES AND SCIENCES (ICoNETS) 2021;2022

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