4.4 Article

Stochastic epidemics in dynamic populations: quasi-stationarity and extinction

Journal

JOURNAL OF MATHEMATICAL BIOLOGY
Volume 41, Issue 6, Pages 559-580

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s002850000060

Keywords

critical community size; diffusion approximation; persistence; quasistationary distribution; SIR epidemics; stochastic fade-out; vaccination

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Empirical evidence shows chat childhood diseases persist in large communities whereas in smaller communities the epidemic goes extinct land is later reintroduced by immigration). The present paper treats a stochastic model describing the spread of an infectious disease giving life-long immunity, in a community where individuals die and new individuals an born. The time to extinction of the disease starting in quasi-stationarity (conditional on non-extinction) is exponentially distributed. As the population size grows the epidemic process converges to a diffusion process. Properties of the limiting diffusion are used to obtain an approximate expression for tau, the mean-parameter in the exponential distribution of the time to extinction for the finite population The expression is used to study how tau depends on the community size but also on certain properties of the disease/community: the basic reproduction number and the means and Variances of the latency period, infectious period and life-length. Effects of introducing a vaccination program are also discussed as is the notion of the critical community size, defined as the size which distinguishes between the two qualitatively different behaviours.

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