title: Evaluation of the performance of a dengue outbreak detection tool for China.
abstract: An outbreak detection and response system, using time series moving percentile method based on historical data, in China has been used for identifying dengue fever outbreaks since 2008. For dengue fever outbreaks reported from 2009 to 2012, this system achieved a sensitivity of 100%, a specificity of 99.8% and a median time to detection of 3 days, which indicated that the system was a useful decision tool for dengue fever control and risk-management programs in China.
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Honglong
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Zhongjie
authors.initials: Z
authors.lastname: Li
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Shengjie
authors.initials: S
authors.lastname: Lai
authors.affiliation: Research School of Population Health, College of Medicine, Biology and Environment, The Australian National University, Canberra, Australia.
authors.forename: Archie C A
authors.initials: AC
authors.lastname: Clements
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Liping
authors.initials: L
authors.lastname: Wang
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Wenwu
authors.initials: W
authors.lastname: Yin
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Hang
authors.initials: H
authors.lastname: Zhou
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Hongjie
authors.initials: H
authors.lastname: Yu
authors.affiliation: Infectious Disease Epidemiology Unit, School of Population Health, University of Queensland, Brisbane, Australia.
authors.forename: Wenbiao
authors.initials: W
authors.lastname: Hu
authors.affiliation: Key Laboratory of Surveillance and Early-warning on infectious Disease, Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
authors.forename: Weizhong
authors.initials: W
authors.lastname: Yang
mesh_terms: D002681:China / Q000453:epidemiology; D003715:Dengue / Q000453:epidemiology*; D004196:Disease Outbreaks; D062665:Epidemiological Monitoring; D005260:Female; D006801:Humans; D008297:Male; D011237:Predictive Value of Tests; D018570:Risk Assessment / Q000379:methods