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目的了解传染病自动预警系统(CIDARS)在基层疾控中心的预警效果,为完善和优化预警模式提供参考依据。方法应用描述性流行病学方法对2010~2015年太原市小店区传染病自动预警资料进行分析。结果 2010~2015年太原市小店区共收到1 527条预警信号,其中单病例预警299条,时间序列预警1 228条,初步判断为疑似事件的有8条,经现场流行病学调查后,判断为传染病暴发流行的1条,预警信号阳性率为0.07%。预警信号覆盖了15个病种,数量排前5位的病种分别是麻疹、手足口病、其他感染性腹泻病、流行性腮腺炎、猩红热,占预警信号总数的79.31%。结论传染病自动预警信息系统在实际应用中存在一些局限性。
Objective To understand the early warning effect of CIDARS in grassroots CDC and provide a reference for improving and optimizing the early warning mode. Methods Descriptive epidemiological methods were used to analyze the automatic warning data of infectious diseases in the Xiaodian district of Taiyuan from 2010 to 2015. Results A total of 1 527 early-warning signals were received from 2010 to 2015 in Xiaodian District of Taiyuan City. Among them, 299 were single-case early warning, 1 228 pre-warning time series, and 8 were initially suspected as suspected cases. After the field epidemiological investigation , Judged as a popular outbreak of infectious diseases, early warning signal positive rate of 0.07%. The warning signal covers 15 diseases. The top five diseases are measles, hand-foot-mouth disease, other infectious diarrhea, mumps and scarlet fever, accounting for 79.31% of the total number of early-warning signals. Conclusion There are some limitations in the practical application of automatic warning information system for infectious diseases.