SDE SIS epidemic model with demographic stochasticity and varying population size

Greenhalgh, D. and Liang, Y. and Mao, X. (2016) SDE SIS epidemic model with demographic stochasticity and varying population size. Applied Mathematics and Computation, 276. pp. 218-238. ISSN 0096-3003 (https://doi.org/10.1016/j.amc.2015.11.094)

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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.

ORCID iDs

Greenhalgh, D. ORCID logoORCID: https://orcid.org/0000-0001-5380-3307, Liang, Y. ORCID logoORCID: https://orcid.org/0000-0002-0592-876X and Mao, X. ORCID logoORCID: https://orcid.org/0000-0002-6768-9864;
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