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. CONCLUSION: The instructive conceptual model of dynamic alert can be used as a validating tool in institutions of infectious disease surveillance in different districts.
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. CONCLUSION: The instructive conceptual model of dynamic alert can be used as a validating tool in institutions of infectious disease surveillance in different districts.