Optimizing use of multistream influenza sentinel surveillance data.

Eric H Y Lau, Benjamin J Cowling, Lai-Ming Ho, Gabriel M Leung
Author Information
  1. Eric H Y Lau: University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.

Abstract

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.

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MeSH Term

Hong Kong
Humans
Influenza, Human
Regression Analysis
Sensitivity and Specificity
Sentinel Surveillance

Word Cloud

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