https://www.selleckchem.com/pr....oducts/alw-ii-41-27.
Using sick leave data, we detected 92% of reported influenza outbreaks between 2016 and 2017, on average 5.88 weeks prior to outbreak peaks. Compared to the existing Sentinelles model, our method had high sensitivity (89%) and positive predictive value (86%), and detected outbreaks on average 2.5 weeks earlier. Sick leave surveillance could be a sensitive, specific and timely tool for detection of influenza outbreaks. Sick leave surveillance could be a sensitive, specific and timely tool for detection of influenza outbreaks. Hand h
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