How big is an outbreak likely to be? Methods for epidemic final-size calculation
journal contributionposted on 07.03.2014, 15:34 by Thomas House, Joshua V. Ross, David Sirl
Epidemic models have become a routinely used tool to inform policy on infectious disease. A particular interest at the moment is the use of computationally intensive inference to parametrize these models. In this context, numerical efﬁciency is critically important. We consider methods for evaluating the probability mass function of the total number of infections over the course of a stochastic epidemic, with a focus on homogeneous ﬁnite populations, but also considering heterogeneous and large populations. Relevant methods are reviewed critically, with existing and novel extensions also presented. We provide code in MATLAB and a systematic comparison of numerical efﬁciency.
T.H. is supported by the UK Engineering and Physical Science Research Council. J.V.R. was supported under Australian Research Council’s Discovery Projects funding scheme (project no. DP110102893).
- Mathematical Sciences