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_9
Snippet: To understand the advantages of a pooling approach, consider a laboratory receiving N = 1000 samples, with a frequency p = 1/1000 of positive cases. Using a naïve, one-by-one approach, 1000 tests will need to be performed. However, if the samples are pooled together, for example, into 10 different batches of b = 100 samples each, it is probable that 9 out of 10 batches will show a negative result. Each negative result, obtained by a single RT-qP.....
Document: To understand the advantages of a pooling approach, consider a laboratory receiving N = 1000 samples, with a frequency p = 1/1000 of positive cases. Using a naïve, one-by-one approach, 1000 tests will need to be performed. However, if the samples are pooled together, for example, into 10 different batches of b = 100 samples each, it is probable that 9 out of 10 batches will show a negative result. Each negative result, obtained by a single RT-qPCR reaction, determines that 100 individual samples are negative without the need for individual testing. Samples in batches that yielded a positive result may be either processed individually, or further divided to smaller batches. Both approaches will improve the testing efficiency significantly.
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