On expected durations of birth-death processes, with applications to branching processes and SIS epidemics

Ball, Frank and Britton, Tom and Neal, Peter (2016) On expected durations of birth-death processes, with applications to branching processes and SIS epidemics. Journal of Applied Probability, 53 (1). pp. 203-215. ISSN 0021-9002

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Abstract

We study continuous-time birth–death type processes, where individuals have independent and identically distributed lifetimes, according to a random variable Q, with E[Q] = 1, and where the birth rate if the population is currently in state (has size) n is α(n). We focus on two important examples, namely α(n) = λ n being a branching process, and α(n) = λn(N - n) / N which corresponds to an SIS (susceptible → infective → susceptible) epidemic model in a homogeneously mixing community of fixed size N. The processes are assumed to start with a single individual, i.e. in state 1. Let T, A n , C, and S denote the (random) time to extinction, the total time spent in state n, the total number of individuals ever alive, and the sum of the lifetimes of all individuals in the birth–death process, respectively. We give expressions for the expectation of all these quantities and show that these expectations are insensitive to the distribution of Q. We also derive an asymptotic expression for the expected time to extinction of the SIS epidemic, but now starting at the endemic state, which is not independent of the distribution of Q. The results are also applied to the household SIS epidemic, showing that, in contrast to the household SIR (susceptible → infective → recovered) epidemic, its threshold parameter R* is insensitive to the distribution of Q.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Applied Probability
Additional Information:
© Cambridge University Press 2016
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600
Subjects:
ID Code:
72745
Deposited By:
Deposited On:
28 Jan 2015 14:09
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Dec 2020 02:15