Huart Michael, Bedubourg Gabriel, Abat Cédric, Colson Philippe, Rolain Jean Marc, Chaudet Hervé, Fournier Pierre Edouard, Raoult Didier, Deparis Xavier
Emerg Infect Dis. 2017 Apr;23(4):582-589. doi: 10.3201/eid2304.161399.
We describe the implementation of an automated infectious disease surveillance system that uses data collected from 210 microbiologic laboratories throughout the Provence-Alpes-Côte d'Azur region in France. Each week, these facilities report bacterial species that have been isolated from patients in their area. An alarm is triggered whenever the case count for a bacterial species infection exceeds 2 SDs of the historical mean for that species at the participating laboratory. At its inception in July 2013, the system monitored 611 bacterial species. During July 1, 2013-March 20, 2016, weekly analyses of incoming surveillance data generated 34 alarms signaling possible infectious disease outbreaks; after investigation, 14 (41%) of these alarms resulted in health alerts declared by the regional health authority. We are currently improving the system by developing an Internet-based surveillance platform and extending our surveillance to include more laboratories in the region.
我们描述了一个自动化传染病监测系统的实施情况,该系统使用从法国普罗旺斯-阿尔卑斯-蓝色海岸地区的210个微生物实验室收集的数据。每周,这些机构报告在其所在地区从患者身上分离出的细菌种类。每当某一细菌种类感染的病例数超过参与监测实验室中该种类历史均值的2个标准差时,就会触发警报。该系统于2013年7月启动时,监测611种细菌。在2013年7月1日至2016年3月20日期间,对传入监测数据的每周分析产生了34次警报,表明可能存在传染病暴发;经过调查,其中14次(41%)警报导致地区卫生当局发布健康警报。我们目前正在通过开发基于互联网的监测平台来改进该系统,并将监测范围扩大到该地区更多的实验室。