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. 2020 May 11;S0196-6553(20)30279-0.
doi: 10.1016/j.ajic.2020.05.007. Online ahead of print.

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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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?

Timothy L Wiemken et al. Am J Infect Control. .
Free PMC article

Abstract

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.

Keywords: Contact tracing; Coronavirus; Influenza; SARS-CoV-2; Syndrome.

Figures

Fig 1
Fig 1
Comparison of documented Influenza-Like-Illness (ILI) and influenza positive public health and clinical laboratory Reports, United States, Panel A: Week 40, 2019 through Week 12, 2020; Panel B: Week 40, 2018 through Week 12, 2019; Panel C: Week 40, 2017 through Week 12, 2018.

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