Authorsâ€™ abstract: In this paper we extend the classical susceptible-infected-susceptible epidemic model from a deterministic framework to a stochastic one and formulate it as a stochastic differential equation (SDE) for the number of infectious individuals

$I\left(t\right)$. We then prove that this SDE has a unique global positive solution

$I\left(t\right)$ and establish conditions for extinction and persistence of

$I\left(t\right)$. We discuss perturbation by stochastic noise. In the case of persistence we show the existence of a stationary distribution and derive expressions for its mean and variance. The results are illustrated by computer simulations, including two examples based on real-life diseases.