Author: Fayyaz Minhas; Dimitris Grammatopoulos; Lawrence Young; Imran Amin; David Snead; Neil Anderson; Asa Ben-Hur; Nasir Rajpoot
Title: Improving COVID-19 Testing Efficiency using Guided Agglomerative Sampling Document date: 2020_4_14
ID: 7rip6wtu_5
Snippet: a. The test produces a positive outcome if any of the samples in the bag is positive b. The test produces negative outcome if none of the samples in the bag is positive c. Testing in bags does not change the error rate of the test being used 2. Multiplicity: Multiple samples can be taken from a single individual or a single sample from an individual can be divided further 3. Rarity: The probability of testing positive is small ( < 0.2) It can be .....
Document: a. The test produces a positive outcome if any of the samples in the bag is positive b. The test produces negative outcome if none of the samples in the bag is positive c. Testing in bags does not change the error rate of the test being used 2. Multiplicity: Multiple samples can be taken from a single individual or a single sample from an individual can be divided further 3. Rarity: The probability of testing positive is small ( < 0.2) It can be expected that these assumptions are satisfied by a number of current tests for CoV-2 infection such as the quantitative RT-PCR and serological (antibody) testing [2] .
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