Author: Wiemken, Timothy L.; Shacham, Enbal
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? Cord-id: wkd9vivw Document date: 2020_5_11
ID: wkd9vivw
Snippet: In the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented 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 three 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 outb
Document: In the absence of widespread testing, syndromic surveillance approaches may be useful for understanding potential undocumented 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 three 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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