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Updated: Feb 21, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Deterministic and stochastic analysis of an eco-epidemiological model
Chandan Maji1, Debasis Mukherjee2, Dipak Kesh3
1Department of Mathematics, Vivekananda College, Thakurpukur, 269 D.H. Road, Kolkata, 700063, India.
Chronic wasting disease (CWD) disrupts ecosystems. This study models CWD's spread in deer populations, analyzing stability and confirming the deterministic model
Area of Science:
- Ecology
- Epidemiology
- Mathematical Biology
Background:
- Chronic wasting disease (CWD) is a contagious prion disease affecting deer family members.
- CWD poses a significant threat to ecosystem stability where deer populations are abundant.
Purpose of the Study:
- To develop and analyze a mathematical eco-epidemic model for CWD transmission in deer.
- To investigate the stability and dynamics of CWD spread using mathematical approaches.
Main Methods:
- The study employs a deterministic eco-epidemic model to simulate CWD dynamics.
- Mathematical techniques including stability analysis, Lyapunov functions, and bifurcation theory are utilized.
- Stochastic stability is explored by introducing white noise into the model.
Main Results:
- The model's boundedness was established, and its equilibria were analyzed for stability.
- Conditions for disease persistence and the global stability of the endemic equilibrium were determined.
- Hopf-bifurcation was analyzed, and numerical simulations validated the model's robustness against stochastic perturbations.
Conclusions:
- The deterministic eco-epidemic model provides a robust framework for understanding CWD dynamics.
- The model's stability analysis offers insights into disease persistence and spread within deer populations.
- Stochastic perturbations do not significantly alter the core dynamics predicted by the deterministic model.
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