Dynamical epidemic suppression using stochastic prediction and control

Authors

Ira Schwartz, US Naval Research LabratoryFollow
Lora Billings, Montclair State UniversityFollow
Erik Bollt, Clarkson UniversityFollow

Document Type

Article

Publication Date

10-28-2004

Journal / Book Title

Physical Review E

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.

DOI

10.1103/PhysRevE.70.046220

MSU Digital Commons Citation

Schwartz, Ira; Billings, Lora; and Bollt, Erik, "Dynamical epidemic suppression using stochastic prediction and control" (2004). Department of Mathematics Facuty Scholarship and Creative Works. 8.
https://digitalcommons.montclair.edu/mathsci-facpubs/8

Published Citation

Schwartz, I. B., Billings, L., & Bollt, E. M. (2004). Dynamical epidemic suppression using stochastic prediction and control. Physical Review E, 70(4), 046220. doi:10.1103/PhysRevE.70.046220