Author: Cassidy Mentus; Martin Romeo; Christian DiPaola
Title: Analysis and Applications of Non-Adaptive and Adaptive Group Testing Methods for COVID-19 Document date: 2020_4_7
ID: 3sr4djft_5
Snippet: There is renewed interest in the practical applications of group testing algorithms. In [8] a non-adaptive group testing method and practical applications are explored. We describe adaptive group testing methods based on generalized binary splitting (GBS) [5] . We provide an algorithmic specication for subdividing groups and account for the limited test accuracy and the possibility that the an individual's sample size constrains the number of tes.....
Document: There is renewed interest in the practical applications of group testing algorithms. In [8] a non-adaptive group testing method and practical applications are explored. We describe adaptive group testing methods based on generalized binary splitting (GBS) [5] . We provide an algorithmic specication for subdividing groups and account for the limited test accuracy and the possibility that the an individual's sample size constrains the number of tests. We explain how prescreening symptomatic cases and separately testing them can dramatically improve performance. Pre-screening reduces the prevalence in the test groups. This approach is relevant for large scale populations and particularly for conned groups.
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