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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...
שמור ב:
| הוצא לאור ב: | PLoS ONE |
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| Main Authors: | , , , , , , |
| פורמט: | Artigo |
| יצא לאור: |
Public Library of Science (PLoS)
2021-01-01
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| גישה מקוונת: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565789/?tool=EBI |
| תגים: |
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