Optimizing use of multistream influenza sentinel surveillance data.
We applied time-series methods to multivariate sentinel surveillance data recorded in Hong Kong during 1998-2007. Our study demonstrates that simultaneous monitoring of multiple streams of influenza surveillance data can improve the accuracy and timeliness of alerts compared with monitoring of aggregate data or of any single stream alone.
Lau
Eric H Y
EH
University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
Cowling
Benjamin J
BJ
Ho
Lai-Ming
LM
Leung
Gabriel M
GM
D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D007251:Influenza, Human / Q000175:diagnosis* / Q000453:epidemiology; D012044:Regression Analysis; D012680:Sensitivity and Specificity; D018571:Sentinel Surveillance