SDE SIS epidemic model with demographic stochasticity and varying population size

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Abstract

In this paper we look at the two dimensional stochastic differential equation (SDE) susceptible-infected-susceptible (SIS) epidemic model with demographic stochasticity where births and deaths are regarded as stochastic processes with per capita disease contact rate depending on the population size. First we look at the SDE model for the total population size and show that there exists a unique non-negative solution. Then we look at the two dimensional SDE SIS model and show that there exists a unique non-negative solution which is bounded above given the total population size. Furthermore we show that the number of infecteds and the number of susceptibles become extinct in finite time almost surely. Lastly, we support our analytical results with numerical simulations using theoretical and realistic disease parameter values.

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Greenhalgh, D., Liang, Y., & Mao, X. (2016). SDE SIS epidemic model with demographic stochasticity and varying population size. Applied Mathematics and Computation, 276, 218–238. https://doi.org/10.1016/j.amc.2015.11.094

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