Dynamical epidemic suppression using stochastic prediction and control

Ira B. Schwartz, Lora Billings, Erik M. Bollt

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


The effects of noise on a model of epidemic outbreaks were studied. The outbreaks were assumed to appear randomly. An adaptive control scheme was derived that prevents large outbreaks from occurring. A transition approach was used that predicts large outbreaks prior to their occurrence. The theory was found to be applicable to a wide range of stochastic processes.

Original languageEnglish
Article number046220
Pages (from-to)046220-1-046220-7
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Issue number4 2
StatePublished - Oct 2004


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