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,...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2023-08-01
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Series: | JMIR Public Health and Surveillance |
Online Access: | https://publichealth.jmir.org/2023/1/e39754 |