...
首页> 外文期刊>BMC Medical Informatics and Decision Making >Detecting the start of an influenza outbreak using exponentially weighted moving average charts
【24h】

Detecting the start of an influenza outbreak using exponentially weighted moving average charts

机译:使用指数加权移动平均线图检测流感爆发的开始

获取原文
           

摘要

Background Influenza viruses cause seasonal outbreaks in temperate climates, usually during winter and early spring, and are endemic in tropical climates. The severity and length of influenza outbreaks vary from year to year. Quick and reliable detection of the start of an outbreak is needed to promote public health measures. Methods We propose the use of an exponentially weighted moving average (EWMA) control chart of laboratory confirmed influenza counts to detect the start and end of influenza outbreaks. Results The chart is shown to provide timely signals in an example application with seven years of data from Victoria, Australia. Conclusions The EWMA control chart could be applied in other applications to quickly detect influenza outbreaks.
机译:背景技术流感病毒通常在冬季和早春在温带气候中引起季节性暴发,并且在热带气候中流行。流感爆发的严重程度和持续时间每年都不同。为了促进公共卫生措施,需要快速可靠地检测出暴发。方法我们建议使用实验室确认的流感计数的指数加权移动平均值(EWMA)控制图来检测流感爆发的开始和结束。结果该图表显示了一个示例应用程序中的及时信号,其中包含来自澳大利亚维多利亚州的七年数据。结论EWMA控制图可用于其他应用程序,以快速检测流感爆发。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号