新型“活动上升、多层次混合效应、指标突出”（RAMMIE）方法在英国进行综合征监测的应用。
The application of a novel 'rising activity, multi-level mixed effects, indicator emphasis' (RAMMIE) method for syndromic surveillance in England.
机构信息
Real-time Syndromic Surveillance Team, Public Health England, Birmingham B3 2PW, UK and.
Statistics and Modelling Economics Department, Public Health England, London, UK.
出版信息
Bioinformatics. 2015 Nov 15;31(22):3660-5. doi: 10.1093/bioinformatics/btv418. Epub 2015 Jul 20.
MOTIVATION
Syndromic surveillance is the real-time collection and interpretation of data to allow the early identification of public health threats and their impact, enabling public health action. The 'rising activity, multi-level mixed effects, indicator emphasis' method was developed to provide a single robust method enabling detection of unusual activity across a wide range of syndromes, nationally and locally.
RESULTS
The method is shown here to have a high sensitivity (92%) and specificity (99%) compared to previous methods, whilst halving the time taken to detect increased activity to 1.3 days.
AVAILABILITY AND IMPLEMENTATION
The method has been applied successfully to syndromic surveillance systems in England providing realistic models for baseline activity and utilizing prioritization rules to ensure a manageable number of 'alarms' each day.
CONTACT
动机
症状监测是实时收集和解释数据，以早期识别公共卫生威胁及其影响，从而采取公共卫生行动。“活动增加、多层次混合效应、指标强调”方法的开发提供了一种单一的强大方法，能够在全国和地方范围内检测到各种症状的异常活动。
结果
与以前的方法相比，该方法的灵敏度（92%）和特异性（99%）都很高，同时将检测到活动增加的时间缩短到 1.3 天。
可用性和实施
该方法已成功应用于英国的症状监测系统，为基线活动提供了现实的模型，并利用优先级规则确保每天有可管理数量的“警报”。
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