Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach

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During the COVID-19 pandemic, West Virginia developed an aggressive SARS-CoV-2 testing strategy which included utilizing pop-up mobile testing in locations anticipated to have near-term increases in SARS-CXoV-2 infections. In this study, we describe and compare two methods for predicting near-term S...

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Detalles Bibliográficos
Autores principales: Price, Bradley S., Khodaverdi, Maryam, Halasz, Adam, Hendricks, Brian, Kimble, Wesley, Smith, Gordon S., Hodder, Sally L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509102/
https://www.ncbi.nlm.nih.gov/pubmed/34642701
http://dx.doi.org/10.1101/2021.10.06.21264569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509102/
https://www.ncbi.nlm.nih.gov/pubmed/34642701
http://dx.doi.org/10.1101/2021.10.06.21264569

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