Scenario tree and adaptive decision making on optimal type and timing for intervention and social-economic activity changes to manage the COVID-19 pandemic
EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS(2020)
摘要
We introduce a novel approach to inform the re-opening plan followed by a post-pandemic lockdown by integrating a stochastic optimization technique with a disease transmission model. We assess Ontarios re-opening plans as a case-study. Taking into account the uncertainties in contact rates during different re-opening phases, we find the optimal timing for the upcoming re-opening phase that maximizes the relaxation of social contacts under uncertainties, while not overwhelming the health system capacity before the arrival of effective therapeutics or vaccines.
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关键词
Scenario tree,COVID-19 social distancing,lockdown exit strategy,re-opening,transmission dynamics model,stochastic optimization
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