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In this paper we discuss the stochastic differential equation (SDE) susceptible- infected-susceptible (SIS) epidemic model with demographic stochasticity. First we prove that the SDE has a unique nonnegative solution which is bounded above. Then we give conditions needed for the solution to become extinct. Next we use the Feller test to calculate the respective probabilities of the solution first hitting zero or the upper limit. We confirm our theoretical results with numerical simulations and then give simulations with realistic parameter values for two example diseases: gonorrhea and pneumococcus.
|Number of pages||26|
|Journal||Discrete and Continuous Dynamical Systems - Series B|
|Publication status||Published - 30 Sep 2015|
- SIS epidemic model
- Brownian motion
- stochastic differential equations
- feller test
- demographic stochasticity
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- 1 Finished
1/10/12 → 3/10/16
Project: Research Studentship - Internally Allocated