Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study

Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study

BackgroundThe Flexible Adaptive Algorithmic Surveillance Testing (FAAST) program represents an innovative approach for improving the detection of new cases of infectious disease; it is deployed here to screen and diagnose SARS-CoV-2. With the advent of treatment for COVID-19,...

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Bibliographic Details
Main Authors: Michael F Rayo, Daria Faulkner, David Kline, Thomas Thornhill IV, Samuel Malloy, Dante Della Vella, Dane A Morey, Net Zhang, Gregg Gonsalves
Format: Article
Language:English
Published: JMIR Publications 2023-08-01
Series:JMIR Public Health and Surveillance
Online Access:https://publichealth.jmir.org/2023/1/e39754

Internet

https://publichealth.jmir.org/2023/1/e39754

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