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Dynamical epidemic suppression using stochastic prediction and control Export

Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 70, No. 4. (2004)

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control epidemics stochastic

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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.


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