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? - 25/07/20
, Enbal Shacham, PhD c, d
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Highlights |
• | Syndromic surveillance for COVID-19 may be feasible using publicly available data. |
• | We compared FluView influenza positive tests with ILINet Influenza like illness. |
• | During COVID-19 periods, there is low influenza burden with high influenza like illness. |
Résumé |
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.
Le texte complet de cet article est disponible en PDF.Key Words : SARS-CoV-2, Coronavirus, Syndrome, Influenza, Contact tracing
Plan
| Conflicts of interest: None to report. |
Vol 48 - N° 8
P. 961-963 - août 2020 Retour au numéro
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