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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7211575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
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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