Conceptual model for automatic early warning information system of infectious diseases based on internet reporting surveillance system.
- Author:
Jia-Qi MA
1
;
Li-Ping WANG
;
Xiao-Peng QI
;
Xiao-Ming SHI
;
Gong-Huan YANG
Author Information
- Publication Type:Journal Article
- MeSH: Communicable Diseases; diagnosis; epidemiology; Disease Outbreaks; Humans; Information Systems; Internet; Models, Statistical; Population Surveillance; methods; Sensitivity and Specificity; Time Factors
- From: Biomedical and Environmental Sciences 2007;20(3):208-211
- CountryChina
- Language:English
-
Abstract:
OBJECTIVETo establish a conceptual model of automatic early warning of infectious diseases based on internet reporting surveillance system, with a view to realizing an automated warning system on a daily basis and timely identifying potential outbreaks of infectious diseases.
METHODSThe statistic conceptual model was established using historic surveillance data with movable percentile method.
RESULTSBased on the infectious disease surveillance information platform, the conceptual model for early warning was established. The parameter, threshold, and revised sensitivity and specificity of early warning value were changed to realize dynamic alert of infectious diseases on a daily basis.
CONCLUSIONThe instructive conceptual model of dynamic alert can be used as a validating tool in institutions of infectious disease surveillance in different districts.
