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

BACKGROUND: The 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, finding individuals i...

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Detalles Bibliográficos
Autores principales: Rayo, Michael F, Faulkner, Daria, Kline, David, Thornhill IV, Thomas, Malloy, Samuel, Della Vella, Dante, Morey, Dane A, Zhang, Net, Gonsalves, Gregg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430782/
https://www.ncbi.nlm.nih.gov/pubmed/37581924
http://dx.doi.org/10.2196/39754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430782/
https://www.ncbi.nlm.nih.gov/pubmed/37581924
http://dx.doi.org/10.2196/39754

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