甘肃省2008—2013年传染病自动预警系统时间模型运行结果分析
[Abstract]:Objective to analyze the operating results of the time model of the automatic early warning system for infectious diseases in Gansu Province from 2008 to 2013, to evaluate the sensitivity and practicability of the early warning system, and to provide a reference basis for further optimization of the early warning threshold. Methods the early warning data of infectious diseases in Gansu Province from January 2008 to December 2013 were collected, and the number and response results of early warning signals generated by time model of early warning system of infectious diseases were analyzed, and the early warning results before and after the adjustment of early warning threshold for different diseases and regions were compared. Results A total of 39,940 early warning signals were issued by the automatic early warning system for infectious diseases in Gansu Province from 2008 to 2013. The ratio of reported cases to early warning signals was 9.01: 1, and the number of suspected incidents accounted for 1.57 of the early warning signals. The positive rate of warning signal was 0.64; The most common early warning signs were dysentery, other infectious diarrhea, and mumps, accounting for 63.17g of all warning signs; The sensitivity of early warning system decreased from 70.59% to 39.62%, the positive rate of warning signal decreased from 0.88% to 0.34%, influenza, mumps, rubella, hand, foot and mouth disease, Other infectious diarrhea, dysentery, hepatitis A, acute hemorrhagic conjunctivitis early warning positive rate decreased; The early warning signal covers 86 counties of 14 cities and states in Gansu Province, and the median response time is 0.84 h. After adjusting the warning threshold, the positive rate of early warning signal in Lanzhou City and Jiayuguan City increased, and the median response time of signal in all cities was shorter than that before adjustment. Conclusion the automatic early warning system of infectious diseases in Gansu Province from 2008 to 2013 is stable, and the effect of early warning after adjusting the threshold value of early warning system is poor. In the future, the threshold will be optimized according to the specific conditions of different diseases and regions to reduce false positive early warning. Further improve the sensitivity and specificity of the early warning system.
【作者单位】: 甘肃省疾病预防控制中心;
【基金】:甘肃省卫生行业科研管理项目(GWGL2014-83)
【分类号】:R181.8
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