"Dynamical epidemic suppression using stochastic prediction and control" by Ira B. Schwartz

Article

Dynamical epidemic suppression using stochastic prediction and control

Physical Review E (2004)

Ira B. Schwartz, US Naval Research Labratory
Lora Billings, Montclair State University
Erik M. Bollt, Clarkson University

Link

Abstract

We consider the effects of noise on a model of epidemic outbreaks, where the outbreaks appear randomly. Using a constructive transition approach that predicts large outbreaks prior to their occurrence, we derive an adaptive control scheme that prevents large outbreaks from occurring. The theory is applicable to a wide range of stochastic processes with underlying deterministic structure.

Disciplines

Epidemiology

Publication Date

Fall October 28, 2004

DOI

10.1103/PhysRevE.70.046220

Citation Information

Ira B. Schwartz, Lora Billings and Erik M. Bollt. "Dynamical epidemic suppression using stochastic prediction and control" Physical Review E (2004) ISSN: 2470-0053
Available at: http://works.bepress.com/lora-billings/27/