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速度监测:移民大规模住宿场所传染病监测——2016 至 2017 年德国现场应用综合征监测的简便灵活工具包。

Surveillance on speed: Being aware of infectious diseases in migrants mass accommodations - an easy and flexible toolkit for field application of syndromic surveillance, Germany, 2016 to 2017.

机构信息

Robert Koch Institute (RKI), Berlin, Germany.

Department of Infectious Diseases, Vivantes Auguste Viktoria Hospital, Berlin, Germany.

出版信息

Euro Surveill. 2018 Oct;23(40). doi: 10.2807/1560-7917.ES.2018.23.40.1700430.

DOI:10.2807/1560-7917.ES.2018.23.40.1700430
PMID:30301488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6178587/
Abstract

Europe received an increased number of migrants in 2015. Housing in inadequate mass accommodations (MA) made migrants prone to infectious disease outbreaks. In order to enhance awareness for infectious diseases (ID) and to detect clusters early, we developed and evaluated a syndromic surveillance system in three MA with medical centres in Berlin, Germany. Healthcare workers transferred daily data on 14 syndromes to the German public health institute (Robert Koch-Institute). Clusters of ID syndromes and single cases of outbreak-prone diseases produced a signal according to a simple aberration-detection algorithm that computes a statistical threshold above which a case count is considered unusually high. Between May 2016-April 2017, 9,364 syndromes were reported; 2,717 (29%) were ID, of those 2,017 (74%) were respiratory infections, 262 (10%) skin parasites, 181 (7%) gastrointestinal infections. The system produced 204 signals, no major outbreak was detected. The surveillance reinforced awareness for public health aspects of ID. It provided real-time data on migrants' health and stressed the burden of non-communicable diseases. The tool is available online and was evaluated as being feasible and flexible. It complements traditional notification systems. We recommend its usage especially when laboratory testing is not available and real-time data are needed.

摘要

2015 年,欧洲接收了更多的移民。在容纳能力不足的大规模住宿场所(MA)中,移民容易爆发传染病。为了提高对传染病(ID)的认识,并及早发现集群,我们在德国柏林的三个 MA 中开发并评估了一种综合征监测系统,这些 MA 中设有医疗中心。医护人员每天将 14 种综合征的相关数据传输至德国公共卫生研究所(罗伯特·科赫研究所)。传染病综合征集群和易爆发疾病的单个病例会根据一种简单的异常检测算法发出信号,该算法会计算出一个统计阈值,高于该阈值的病例数被认为异常高。在 2016 年 5 月至 2017 年 4 月期间,报告了 9364 种综合征;其中 2717 种(29%)为传染病,其中 2017 种(74%)为呼吸道感染,262 种(10%)为皮肤寄生虫病,181 种(7%)为胃肠道感染。该系统产生了 204 个信号,但未检测到重大疫情。该监测系统增强了对传染病公共卫生方面的认识。它提供了有关移民健康状况的实时数据,并强调了非传染性疾病的负担。该工具可在线使用,并被评估为可行且灵活。它补充了传统的通知系统。我们建议在无法进行实验室检测且需要实时数据的情况下使用该工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/a9510378d133/1700430-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/84c9da87c428/1700430-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/350b4a831c0b/1700430-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/a9510378d133/1700430-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/84c9da87c428/1700430-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/350b4a831c0b/1700430-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0cb/6178587/a9510378d133/1700430-f3.jpg

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