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_20
Snippet: If a population has a low prevalence of COVID-19 then it is likely for groups of individuals to not have any positive cases. Therefore it is often the case that one test of the mixture of their samples is all that is needed to determine that they are all negative. testing a mixture of samples from the individuals in the group. The maximum group size in this example is 8. A blue frame represents testing (-) for COVID-19 and a red frame represents .....
Document: If a population has a low prevalence of COVID-19 then it is likely for groups of individuals to not have any positive cases. Therefore it is often the case that one test of the mixture of their samples is all that is needed to determine that they are all negative. testing a mixture of samples from the individuals in the group. The maximum group size in this example is 8. A blue frame represents testing (-) for COVID-19 and a red frame represents testing (+). Two of the group tests of 8 are positive. When this happens, a type of binary search is used to nd one positive case.
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