Evaluation of the Performance of a Dengue Outbreak Detection Tool for China

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.

[1]  David L. Buckeridge,et al.  Improving the Performance of Outbreak Detection Algorithms by Classifying the Levels of Disease Incidence , 2013, PloS one.

[2]  A. James,et al.  Dengue Fever in mainland China. , 2010, The American journal of tropical medicine and hygiene.

[3]  J. Benzler,et al.  SurvNet Electronic Surveillance System for Infectious Disease Outbreaks, Germany , 2007, Emerging infectious diseases.

[4]  Rachel Lowe,et al.  The development of an early warning system for climate‐sensitive disease risk with a focus on dengue epidemics in Southeast Brazil , 2013, Statistics in medicine.

[5]  Daniel Dajun Zeng,et al.  Comparing early outbreak detection algorithms based on their optimized parameter values , 2009, Journal of Biomedical Informatics.

[6]  Jiaqi Ma,et al.  A nationwide web-based automated system for outbreak early detection and rapid response in China. , 2011, Western Pacific surveillance and response journal : WPSAR.

[7]  R. Sithiprasasna,et al.  The geographic information system as an epidemiological tool in the surveillance of dengue virus-infected Aedes mosquitos. , 2004, The Southeast Asian journal of tropical medicine and public health.

[8]  Michael M. Wagner,et al.  Technical Description of RODS: A Real-time Public Health Surveillance System , 2003, Journal of the American Medical Informatics Association.

[9]  A. James,et al.  Review: Dengue Fever in Mainland China , 2010 .

[10]  Bert Veenendaal,et al.  Applying cusum-based methods for the detection of outbreaks of Ross River virus disease in Western Australia , 2008, BMC Medical Informatics Decis. Mak..

[11]  David L. Buckeridge,et al.  Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods , 2012, J. Am. Medical Informatics Assoc..

[12]  Joseph S. Lombardo,et al.  A systems overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II) , 2003, Journal of Urban Health.

[13]  C. Depradine,et al.  Climatological variables and the incidence of Dengue fever in Barbados , 2004, International journal of environmental health research.

[14]  L. Hutwagner,et al.  The bioterrorism preparedness and response Early Aberration Reporting System (EARS) , 2003, Journal of Urban Health.

[15]  Yu Wang.  The H7N9 influenza virus in China--changes since SARS. , 2013, The New England journal of medicine.