Abstract
We calculate both the exponential and prefactor contributions in a WKB approximation of the master equation for a stochastic SIR model with highly oscillatory dynamics. Fixing the basic parameters of the model, we investigate how the outbreak distribution changes with the population size. We show that this distribution rapidly becomes highly non-Gaussian, acquiring large tails, indicating the presence of rare but large outbreaks, as the population is made smaller. The analytic results are found to be in excellent agreement with simulations until the systems become so small that the dynamics are dominated by fade-out of the disease. © 2011 IOP Publishing Ltd and SISSA.
Original language | English |
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Article number | P12006 |
Journal | Journal of Statistical Mechanics: Theory and Experiment |
Volume | 2011 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2011 |
Keywords
- epidemic modelling
- stochastic processes (theory)