WKB theory of epidemic fade-out in stochastic populations
Baruch Meerson, Pavel V. Sasorov

TL;DR
This paper develops a WKB theoretical framework to analyze the most probable paths and probabilities of epidemic fade-out caused by stochastic effects in populations, providing insights into disease extinction dynamics.
Contribution
It introduces a novel WKB approach to identify the instanton-like paths leading to epidemic fade-out in stochastic population models.
Findings
Identifies the most probable fade-out trajectories in phase space.
Provides a method to calculate fade-out probabilities.
Connects stochastic fade-out with Hamiltonian phase space dynamics.
Abstract
Stochastic effects may cause fade-out of an infectious disease in a population immediately after an epidemic outbreak. We develop WKB theory to determine the most probable path of the system toward epidemic fade-out and to evaluate the fade-out probability. The most probable path is an instanton-like orbit in the phase space of the underlying Hamiltonian flow.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
