A stochastic differential equation SIS epidemic model incorporating Ornstein–Uhlenbeck process

By Weiming Wang, Yongli Cai, Zuqin Ding, Z. Gui. Physica A: Statistical Mechanics and its Applications, 2018

149 citations recorded by the source corpus.

Abstract In this paper, based on the results of Gray et al. (2011), we propose a new SDE SIS model incorporating mean-reverting Ornstein–Uhlenbeck process, and prove that the stochastic basic reproduction number R 0 s can be used to identify the stochastic extinction and persistence for the SDE mode: if R 0 s 1 under mild extra conditions, the disease will be extinct a.s., while if R 0 s > 1 , the disease will persist a.s. Epidemiologically, we find that smaller speed of reversion or bigger intensity of volatility can suppress the disease outbreak. Thus, in order to control the spread of the disease, we must decrease the speed of reversion or increase the intensity of volatility.

Subfields: Genetics, Modeling and Simulation, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/1a70e288ba45906e9b178e8946c7482cf52adfc3