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?
Non-conventional
in English
| WHO COVID | ID: covidwho-345127
ABSTRACT
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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Collection:
Databases of international organizations
Database:
WHO COVID
Type of study:
Experimental Studies
Language:
English
Document Type:
Non-conventional
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