优化多源流感哨点监测数据的利用
Optimizing use of multistream influenza sentinel surveillance data.
作者信息
Lau Eric H Y, Cowling Benjamin J, Ho Lai-Ming, Leung Gabriel M
机构信息
University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China.
出版信息
Emerg Infect Dis. 2008 Jul;14(7):1154-7. doi: 10.3201/eid1407.080060.
Abstract
We applied time-series methods to multivariate sentinel surveillance data recorded in Hong Kong during 1998-2007. Our study demonstrates that simultaneous monitoring of multiple streams of influenza surveillance data can improve the accuracy and timeliness of alerts compared with monitoring of aggregate data or of any single stream alone.
摘要
我们将时间序列方法应用于1998 - 2007年香港记录的多变量哨点监测数据。我们的研究表明，与单独监测汇总数据或任何单一数据流相比，同时监测多流流感监测数据可以提高警报的准确性和及时性。
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