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For Quick Coronavirus Testing, Israel Turns to Clever Algorithm
The New York Times
David M. Halbfinger
August 21, 2020
Israeli scientists have created a coronavirus testing procedure that they claim is faster and more efficient than any currently in use, testing samples in pools of up to 48 people simultaneously. The Pooling-Based Efficient SARS-CoV-2 Testing (P-Best) method requires only a single round of testing, based on an algorithm created by the Open University of Israel's Noam Shental. The P-Best algorithm optimizes pool design based on the expected prevalence of the virus, enabling all positive individuals in a batch to be localized, provided the total number of positives does not sharply surpass the expected number. Although the technique is less effective the higher a community's positivity rate is, it offers dramatically greater efficiency when rates are lower. P-Best accurately screened 1,115 healthcare workers with just 144 tests. ... "
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