Establishing A Syndromic Surveillance System For School Emergency Of Health In Zhuhai

Background and objectSyndromic surveillance is an investigational approach of public health surveillance where health department staff, assisted by automated data acquisition and generation of statistical alerts, monitor disease indicators in real-time or near real-time to detect outbreaks of disease. School is a special place where adolescents grow up and study, its high population density and age characteristics provided favorable conditions for some infectious diseases. Therefore, it is urgent to enhance the infectious disease control and monitoring in school. A syndromic surveillance system for school emergency of health which used technology of the information network, was established. It collected the symptoms data which came from the school clinic, and analyzed the correlation between symptom variables and disease. Study characteristics of the positive reference standard of ROC to explore the best chain base index. The ARIMA time series models was used to predict the number of visitors and give a reference for monitoring of infectious diseases in school.Methods1. A syndromic surveillance system for school emergency of health was developed in the region. The data of symptoms was collected and the characters of outbreaks were analyzed.2. Accrording to an appropriate positive reference, we explore the best chain base index to detect a potential outbreak. It has a better sensitivity and specificity.3. The auto regressive integrated moving average (ARIMA) model which include in SPSS was used to analyze the data which came form the system and search a better model parameters for prediction.ResultsThis study established a syndromic surveillance system for school emergency of health in Zhuhai City. The 14 school-based health emergencies syndromic surveillance was developed and used well. Its results can hint the trends of the regional school.1. There are two peaks of respiratory-related syndrome and influenza-like illness in 2008 autumn and winter (10-11 months) and 2009 spring and summer (3-4 months), there is a peak of diarrhea in 2008 autumn and winter (10-11 months). The rash has a peak in 2009 summer (5-7 months).2. Outbreaks occurred mainly in low-grade students, the peak was mainly in about 4-6 months, the fever appeared earlier than the influenza-like illness.3. When we uses the number of cases of influenza-like≥3 cases one day in a classes for the positive, An abnormal increase of the fever visits chain base index can play a role in early warning.4. ARIMA(1,1,1)(0,1,1)7 model is able to describe a seasonal trends of the fever visits and be used to predict.Conclusion"Syndromic surveillance system for school emergency of health in Zhuhai City"ran well in pilot sites, the results can reflect the trends of Syndrome of regional schools. It developed a solid technical foundation for model optimization and system upgrades. It gave a scientific evidence to predict and detect the public health outbreaks.