Identifying potential undocumented COVID-19 using publicly

Am J Infect Control · Aug 2020

Identifying potential undocumented COVID-19 using publicly reported influenza-like-illness and laboratory-confirmed influenza disease in the United States: An approach to syndromic surveillance?

In the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented coronavirus disease 2019 (COVID-19) in the United States. We used publicly available data from the Centers for Disease Control and Prevention FluView Interactive to evaluate its potential for COVID-19 syndromic surveillance. Unlike the prior 3 influenza seasons, we found a 76% decrease in influenza positive tests and a 27% increase in influenza like illness during the weeks since COVID-19 outbreaks began in the United States, which suggests FluView's potential utility for COVID-19 syndromic surveillance.

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- Timothy L Wiemken and Enbal Shacham.
- Saint Louis University Center for Health Outcomes Research, Saint Louis, MO; Division of Infectious Diseases, Allergy, and Immunology, Saint Louis University, Saint Louis, MO; The Geospatial Institute at Saint Louis University, Saint Louis, MO. Electronic address: timothy.wiemken@health.slu.edu.
- Am J Infect Control. 2020 Aug 1; 48 (8): 961-963.
AbstractIn the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented coronavirus disease 2019 (COVID-19) in the United States. We used publicly available data from the Centers for Disease Control and Prevention FluView Interactive to evaluate its potential for COVID-19 syndromic surveillance. Unlike the prior 3 influenza seasons, we found a 76% decrease in influenza positive tests and a 27% increase in influenza like illness during the weeks since COVID-19 outbreaks began in the United States, which suggests FluView's potential utility for COVID-19 syndromic surveillance.Copyright © 2020 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

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Identifying potential undocumented COVID-19 using publicly reported influenza-like-illness and laboratory-confirmed influenza disease in the United States: An approach to syndromic surveillance?

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