Author: Haran Shani-Narkiss; Omri David Gilday; Nadav Yayon; Itamar Daniel Landau
Title: Efficient and Practical Sample Pooling High-Throughput PCR Diagnosis of COVID-19 Document date: 2020_4_7
ID: 6ji8dkkz_12
Snippet: The problem we set to solve involves only 3 parameters; N is the number of samples available for the whole diagnostic assay, p represents the expected frequency of positive samples out of all samples (in practice, it should be calculated and updated on a daily basis, for each lab or for a given region/country); and b, the number of samples combined at the outset to a single batch. Given these three parameters we can calculate the expected number .....
Document: The problem we set to solve involves only 3 parameters; N is the number of samples available for the whole diagnostic assay, p represents the expected frequency of positive samples out of all samples (in practice, it should be calculated and updated on a daily basis, for each lab or for a given region/country); and b, the number of samples combined at the outset to a single batch. Given these three parameters we can calculate the expected number of total tests, , for both of our methods, and thereby find the optimal batch-size, b, given N and p.
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