A Unified Stochastic SIR Model Driven By L\'{e}vy Noise With Time-Dependency
Terry Easlick, Wei Sun

TL;DR
This paper introduces a comprehensive stochastic SIR epidemic model incorporating Lévy noise, allowing for complex real-world factors like time-dependency and environmental disturbances, with theoretical analysis and simulations.
Contribution
It presents a new unified stochastic SIR model with Lévy noise that accounts for nonlinearity, discontinuity, and environmental effects, along with rigorous mathematical results.
Findings
Existence and uniqueness of positive global solutions
Conditions for extinction and persistence of the disease
Simulation results illustrating theoretical findings
Abstract
We propose a unified stochastic SIR model driven by L\'{e}vy noise. The model is structural enough to allow for time-dependency, nonlinearity, discontinuity, demography and environmental disturbances. We present concise results on the existence and uniqueness of positive global solutions and investigate the extinction and persistence of the novel model. Examples and simulations are provided to illustrate the main results.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Mathematical and Theoretical Epidemiology and Ecology Models
