A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States

A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States

Abstract Coronavirus SARS-COV-2 infections continue to spread across the world, yet effective large-scale disease detection and prediction remain limited. COVID Control: A Johns Hopkins University Study, is a novel syndromic surveillance approach, which collects body temperature and COVID-like illne...

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Bibliographic Details
Main Authors: Amparo Güemes, Soumyajit Ray, Khaled Aboumerhi, Michael R. Desjardins, Anton Kvit, Anne E. Corrigan, Brendan Fries, Timothy Shields, Robert D. Stevens, Frank C. Curriero, Ralph Etienne-Cummings
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-84145-5

Internet

https://doi.org/10.1038/s41598-021-84145-5

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