Conceptual model for automatic early warning information system of infectious diseases based on internet reporting surveillance system.
OBJECTIVE
To 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.


METHODS
The statistic conceptual model was established using historic surveillance data with movable percentile method.


RESULTS
Based 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.


CONCLUSIONS
The instructive conceptual model of dynamic alert can be used as a validating tool in institutions of infectious disease surveillance in different districts.
National Center for Public Health Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing 100050, China. cnmmaa@263.net
Jia-Qi
JQ
Ma
Li-Ping
LP
Wang
Xiao-Peng
XP
Qi
Xiao-Ming
XM
Shi
Gong-Huan
GH
Yang
D003141:Communicable Diseases / Q000175:diagnosis* / Q000453:epidemiology*; D004196:Disease Outbreaks; D006801:Humans; D007256:Information Systems; D020407:Internet; D015233:Models, Statistical; D011159:Population Surveillance / Q000379:methods*; D012680:Sensitivity and Specificity; D013997:Time Factors