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Increasing testing throughput and case detection with a pooled-sample Bayesian approach in the context of COVID-19

Rodrigo Noriega, Matthew H. Samore
doi: https://doi.org/10.1101/2020.04.03.024216
Rodrigo Noriega
1Department of Chemistry, University of Utah, Salt Lake City, UT USA
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  • For correspondence: noriega@chem.utah.edu
Matthew H. Samore
2Division of Epidemiology, University of Utah, Salt Lake City, UT USA
3Division of Epidemiology, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
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Posted April 05, 2020.
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Increasing testing throughput and case detection with a pooled-sample Bayesian approach in the context of COVID-19
Rodrigo Noriega, Matthew H. Samore
bioRxiv 2020.04.03.024216; doi: https://doi.org/10.1101/2020.04.03.024216
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Increasing testing throughput and case detection with a pooled-sample Bayesian approach in the context of COVID-19
Rodrigo Noriega, Matthew H. Samore
bioRxiv 2020.04.03.024216; doi: https://doi.org/10.1101/2020.04.03.024216

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