Selected article for: "binary search and size group"

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_115
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20050245 doi: medRxiv preprint Since samples can be divided, frozen and stored for continuous use we mathematically analyze how many divisions we have to use for each sample. We nd that testing individually when the sample is about to run out does not subtract substantially from the savings. We demonstrate that for a group size of 32 t.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.05.20050245 doi: medRxiv preprint Since samples can be divided, frozen and stored for continuous use we mathematically analyze how many divisions we have to use for each sample. We nd that testing individually when the sample is about to run out does not subtract substantially from the savings. We demonstrate that for a group size of 32 the generalized binary search on 10000 cases uses the same sample more than 6 times for < 1% of all cases.

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