Dynamical epidemic suppression using stochastic prediction and control

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

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

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
Volume70
Issue number4 2
DOIs
StatePublished - 1 Oct 2004

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adaptive control
stochastic processes
Adaptive Control
Stochastic Processes
retarding
occurrences
Predict
Prediction
predictions
Range of data
Model

Cite this

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Dynamical epidemic suppression using stochastic prediction and control. / Schwartz, Ira B.; Billings, Lora; Bollt, Erik M.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 70, No. 4 2, 046220, 01.10.2004, p. 046220-1-046220-7.

Research output: Contribution to journalArticle

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