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Influenza surveillance in Europe: Establishing epidemic thresholds by the Moving Epidemic Method

机译:欧洲的流感监测:通过移动流行方法建立流行阈值

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Background Timely influenza surveillance is important to monitor influenza epidemics. Objectives (i) To calculate the epidemic threshold for influenza-like illness (ILI) and acute respiratory infections (ARI) in 19 countries, as well as the thresholds for different levels of intensity. (ii) To evaluate the performance of these thresholds. Methods The moving epidemic method (MEM) has been developed to determine the baseline influenza activity and an epidemic threshold. False alerts, detection lags and timeliness of the detection of epidemics were calculated. The performance was evaluated using a cross-validation procedure. Results The overall sensitivity of the MEM threshold was 71·8% and the specificity was 95·5%. The median of the timeliness was 1week (range: 0-4·5). Conclusions The method produced a robust and specific signal to detect influenza epidemics. The good balance between the sensitivity and specificity of the epidemic threshold to detect seasonal epidemics and avoid false alerts has advantages for public health purposes. This method may serve as standard to define the start of the annual influenza epidemic in countries in Europe.
机译:背景技术及时的流感监测对于监测流感流行很重要。目标(i)计算19个国家的流感样疾病(ILI)和急性呼吸道感染(ARI)的流行阈值,以及不同强度水平的阈值。 (ii)评估这些阈值的性能。方法已开发出移动流行病学方法(MEM)来确定基线流感活动和流行病阈值。计算了虚假警报,检测滞后和流行病的及时性。使用交叉验证程序评估性能。结果MEM阈的总灵敏度为71·8%,特异性为95·5%。及时性的中位数为1周(范围:0-4·5)。结论该方法产生了强大而特异性的信号来检测流行性感冒。流行阈值的敏感性和特异性之间的良好平衡,可检测季节性流行病并避免虚假警报,对于公共卫生目的具有优势。该方法可以作为定义欧洲国家每年流感流行开始的标准。

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