The time to extinction for a stochastic SIS-household-epidemic model.
We analyse a Markovian SIS epidemic amongst a finite population partitioned into households. Since the population is finite, the epidemic will eventually go extinct, i.e., have no more infectives in the population. We study the effects of population size and within household transmission upon the time to extinction. This is done through two approximations. The first approximation is suitable for all levels of within household transmission and is based upon an Ornstein-Uhlenbeck process approximation for the diseases fluctuations about an endemic level relying on a large population. The second approximation is suitable for high levels of within household transmission and approximates the number of infectious households by a simple homogeneously mixing SIS model with the households replaced by individuals. The analysis, supported by a simulation study, shows that the mean time to extinction is minimized by moderate levels of within household transmission.
Britton
Tom
T
Department of Mathematics, Stockholm University, Stockholm, Sweden. tom.britton@math.su.se
Neal
Peter
P
D050936:Basic Reproduction Number; D003198:Computer Simulation; D004196:Disease Outbreaks; D004812:Epidemiologic Methods; D005191:Family Characteristics; D006801:Humans; D008390:Markov Chains; D008954:Models, Biological; D013269:Stochastic Processes