Author: Junan Zhu; Kristina Rivera; Dror Baron
Title: Noisy Pooled PCR for Virus Testing Document date: 2020_4_11
ID: f07zk05y_4
Snippet: Noiseless group testing has been established, but noisy group testing algorithms are less mature. For example, recent work on COVID-19 [2] , [3] uses pooled tests to rule out patients corresponding to negative pooled measurements. Their approach implicitly relies on false negatives being rare in RT-PCR, but diluting many samples may increase false negatives [4] . Additionally, patients corresponding to positive pooled measurements are later teste.....
Document: Noiseless group testing has been established, but noisy group testing algorithms are less mature. For example, recent work on COVID-19 [2] , [3] uses pooled tests to rule out patients corresponding to negative pooled measurements. Their approach implicitly relies on false negatives being rare in RT-PCR, but diluting many samples may increase false negatives [4] . Additionally, patients corresponding to positive pooled measurements are later tested individually [3] , which does not benefit from pooling. Our algorithm (Sec. III) applies pooling to identify individual sick patients.
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