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

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

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-CoV-2 infections. This study describes and compares two methods for predicting near-term SARS-Co...

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Bibliographic Details
Main Authors: Bradley S. Price, Maryam Khodaverdi, Adam Halasz, Brian Hendricks, Wesley Kimble, Gordon S. Smith, Sally L. Hodder
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565789/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565789/?tool=EBI

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