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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?

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...

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Detalles Bibliográficos
Autores principales: Wiemken, Timothy L., Shacham, Enbal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211575/
https://www.ncbi.nlm.nih.gov/pubmed/32437754
http://dx.doi.org/10.1016/j.ajic.2020.05.007
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author Wiemken, Timothy L.
Shacham, Enbal
author_facet Wiemken, Timothy L.
Shacham, Enbal
author_sort Wiemken, Timothy L.
collection PubMed
description 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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spelling pubmed-72115752020-05-11 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? Wiemken, Timothy L. Shacham, Enbal Am J Infect Control Brief Report 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. Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. 2020-08 2020-05-11 /pmc/articles/PMC7211575/ /pubmed/32437754 http://dx.doi.org/10.1016/j.ajic.2020.05.007 Text en © 2020 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Brief Report
Wiemken, Timothy L.
Shacham, Enbal
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?
title 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?
title_full 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?
title_fullStr 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?
title_full_unstemmed 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?
title_short 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?
title_sort 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?
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211575/
https://www.ncbi.nlm.nih.gov/pubmed/32437754
http://dx.doi.org/10.1016/j.ajic.2020.05.007
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