Selected article for: "binary splitting and group size"

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_93
    Snippet: Although demonstrated to be more ecient in test usage, generalized binary splitting requires some samples to be used at least as many times as the logarithm of initial group size. For maximum group sizes of 32 and 64 this implies that positive cases will be tested at least 6 or 7 times. As is demonstrated by gures 11.1 and 11.2 it is possible for tests to be used more than twice as many times......
    Document: Although demonstrated to be more ecient in test usage, generalized binary splitting requires some samples to be used at least as many times as the logarithm of initial group size. For maximum group sizes of 32 and 64 this implies that positive cases will be tested at least 6 or 7 times. As is demonstrated by gures 11.1 and 11.2 it is possible for tests to be used more than twice as many times.

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