Stochastic and Deterministic Analysis of SIS Household Epidemics

Neal, Pete (2006) Stochastic and Deterministic Analysis of SIS Household Epidemics. [MIMS Preprint]

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Abstract

We analyse SIS epidemics amongst populations partitioned into households. The analysis considers both the stochastic and deterministic model and unlike previous analysis, we consider general infectious period distributions. For the deterministic model, we prove the existence of an endemic equilibrium for the epidemic if and only if the threshold parameter, $R_\ast >1$. Furthermore, by utilising Markov Chains we show that the total number of infectives converges to the endemic equilibrium as time $t \rightarrow \infty$. For the stochastic model, we prove a law of large numbers result for the convergence of the mean number of infectives per household in the stochastic model to the deterministic limit. This is followed by the derivation of a Gaussian limit process for the fluctuations of the stochastic model.

Item Type:	MIMS Preprint
Uncontrolled Keywords:	Stochastic and deterministic models; SIS epidemics; Households model; Endemic equilibrium; Gaussian processes
Subjects:	MSC 2010, the AMS's Mathematics Subject Classification > 37 Dynamical systems and ergodic theory MSC 2010, the AMS's Mathematics Subject Classification > 60 Probability theory and stochastic processes MSC 2010, the AMS's Mathematics Subject Classification > 92 Biology and other natural sciences
Depositing User:	Dr Peter Neal
Date Deposited:	30 Mar 2006
Last Modified:	08 Nov 2017 18:18
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/202

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