Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System

INFORMS Journal of Applied Analytics(2022)

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摘要
In the summer of 2020, in collaboration with the Greek government, we designed and deployed Eva—the first national-scale, reinforcement learning system for targeted COVID-19 testing. In this paper, we detail the rationale for three major design/algorithmic elements: Eva’s testing supply chain, estimating COVID-19 prevalence, and test allocation.
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关键词
testing,decisions,operations,research,high-stakes
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