Published in PLOS Computational Biology · View the paper (DOI)
Researchers proposed a novel protocol for pooling COVID-19 tests to monitor spread and detect outbreaks in closed communities. The method accounts for false-negative test results using mathematical models that estimate the risk of diluting positive samples.
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