Imperial College London’s Department of Infectious Disease Epidemiology reports a model-predictive control approach that times non-pharmaceutical interventions from noisy real-time case data, generally achieving better control with lower intervention costs than preset schedules or simple thresholds.
Guiding epidemic interventions through a fog of noisy data
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
