
TL;DR
This paper analyzes a stochastic infection model with partnership dynamics at the critical threshold R_0=1, showing the infection's extinction time scales as the square root of the population size, which is proven to be optimal.
Contribution
It provides a precise characterization of the infection's extinction time at the critical threshold R_0=1, extending previous results for subcritical and supercritical cases.
Findings
Infection dies out within O(√N) time at criticality.
The O(√N) estimate is sharp and cannot be improved.
Results extend understanding of infection dynamics at the critical point.
Abstract
We consider a stochastic model of infection spread incorporating monogamous partnership dynamics. In previous work a basic reproduction number is defined with the property that if the infection dies out within units of time, while if the infection survives for at least units of time, for some . Here we consider the critical case and show that the infection dies out within units of time, and moreover that this estimate is sharp.
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