Publication | Open Access
A stochastic differential equation SIS epidemic model with two correlated Brownian motions
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Citations
16
References
2019
Year
EngineeringEpidemiological DynamicStochastic PhenomenonDeterministic Sis ModelStochastic SimulationInfectious Disease ModellingInfectious Disease EcologyStochastic ProcessesCorrelated Brownian MotionsIndividual-based ModelsStatisticsStochastic SystemStochastic Dynamical SystemStochastic Differential EquationStochastic ModelingInfectious Disease ModelingDisease PropagationMedicineComputer Simulation
In this paper, we introduce two perturbations in the classical deterministic susceptible-infected-susceptible epidemic model with two correlated Brownian motions. We consider two perturbations in the deterministic SIS model and formulate the original model as a stochastic differential equation with two correlated Brownian motions for the number of infected population, based on the previous work from Gray et al. (SIAM J Appl Math 71(3):876–902, 2011) and Hening and Nguyen (J Math Biol 77:135–163, 2017. https://doi.org/10.1007/s00285-017-1192-8 ). Conditions for the solution to become extinction and persistence are then stated, followed by computer simulation to illustrate the results.
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