title: Statistical algorithms for early detection of the annual influenza peak season in Hong Kong using sentinel surveillance data.
abstract: In Hong Kong, influenza sentinel surveillance systems have been recently established. Methods that compare current data to data from recent weeks may be appropriate to indicate the start of peak influenza activity. These methods can produce reliable and timely alerts at the start of the annual influenza peak season.
authors.affiliation: School of Public Health, The University of Hong Kong, 100 Cyberport Road, Hong Kong. bcowling@hku.hk
authors.forename: B J
authors.initials: BJ
authors.lastname: Cowling
authors.forename: L M
authors.initials: LM
authors.lastname: Ho
authors.forename: S
authors.initials: S
authors.lastname: Riley
authors.forename: G M
authors.initials: GM
authors.lastname: Leung
mesh_terms: D000465:Algorithms; D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology* / Q000821:virology; D015203:Reproducibility of Results; D018571:Sentinel Surveillance; D013997:Time Factors