Extinction of an infectious disease: A large fluctuation in a nonequilibrium system

Alex Kamenev and Baruch Meerson
Phys. Rev. E 77, 061107 – Published 5 June 2008

Abstract

We develop a theory of first passage processes in stochastic nonequilibrium systems of birth-death type using two closely related epidemiological models as examples. Our method employs the probability generating function technique in conjunction with the eikonal approximation. In this way the problem is reduced to finding the optimal path to extinction: a heteroclinic trajectory of an effective multidimensional classical Hamiltonian system. We compute this trajectory and mean extinction time of the disease numerically and uncover a nonmonotone, spiral path to extinction of a disease. We also obtain analytical results close to a bifurcation point, where the problem is described by a Hamiltonian previously identified in one-species population models.

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  • Received 29 January 2008

DOI:https://doi.org/10.1103/PhysRevE.77.061107

©2008 American Physical Society

Authors & Affiliations

Alex Kamenev1 and Baruch Meerson1,2

  • 1Department of Physics, University of Minnesota, Minneapolis, Minnesota 55455, USA
  • 2Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem 91904, Israel

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Issue

Vol. 77, Iss. 6 — June 2008

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