Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning
收藏NBER2020-07-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w27457
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资源简介：
Group testing increases efficiency by pooling patient specimens and clearing the entire group with one negative test. Optimal grouping strategy is well studied in one-off testing scenarios with reasonably well-known prevalence rates and no correlations in risk. We discuss how the strategy changes in
提供机构：
美国国家经济研究局
创建时间：
2020-07-01
