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[EARS在北京流感大流行预警中的应用]

[Application of EARS in early-warning of influenza pandemic in Beijing].

作者信息

Zhang Dai-tao, Yang Peng, Zhang Yi, Zhang Li, Peng Xiao-min, Shi Wei-xian, Lu Gui-lan, Liang Hui-jie, Liu Yi-meng, Liu Min, Wang Quan-yi

机构信息

Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2012 Jun 18;44(3):412-5.

Abstract

OBJECTIVE

To illustrate the efficiency of cumulative sum (CUSUM) in pre-warning of the influenza peak in Beijing.

METHODS

CUSUM was used to analyze the data of influenza like illness (ILI), and the results of the influenza laboratory surveillance was regarded as the gold standard to judge the approaching of the influenza peak.

RESULTS

The surveillance was launched in 421 hospitals in Beijing during the 2009 to 2010 influenza season, while the influenza laboratory surveillance was launched by 7 collaborative laboratories. From Jun. 2009 to Apr. 2010, the average ILI percentage in the 421 hospitals was 2.56%. In the study, 19 262 pharyngeal swab samples were collected from the ILI cases in 11 hospitals and 5 045 of them were tested positive for the influenza virus, with the novel swine-origin influenza A H1N1 virus dominating. After analyzing of the ILI surveillance data with CUSUM, it was found that the ILI surveillance in Beijing could make a satisfactory early warning for the approaching of the influenza peak referring to the gold standard based on the influenza laboratory results.

CONCLUSION

It could give the prediction and early warning for the influenza peak efficiently and precisely, by using CUSUM to analyze the influenza surveillance data of Beijing.

摘要

目的

阐述累积和(CUSUM)在北京流感高峰期预警中的有效性。

方法

采用CUSUM分析流感样病例(ILI)数据,以流感实验室监测结果作为判断流感高峰期临近的金标准。

结果

在2009 - 2010年流感季节,北京421家医院开展了监测,同时7家合作实验室开展了流感实验室监测。2009年6月至2010年4月,421家医院的ILI平均百分比为2.56%。本研究从11家医院的ILI病例中采集了19262份咽拭子样本,其中5045份流感病毒检测呈阳性,以新型甲型H1N1猪流感病毒为主。用CUSUM分析ILI监测数据后发现,参照基于流感实验室结果的金标准,北京的ILI监测对流感高峰期的临近能做出令人满意的早期预警。

结论

利用CUSUM分析北京的流感监测数据,能够高效、准确地对流感高峰期进行预测和预警。

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