Tahden Maike, Manitz Juliane, Baumgardt Klaus, Fell Gerhard, Kneib Thomas, Hegasy Guido
Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
Department of Psychology and Cluster of Excellence "Hearing4all", Carl von Ossietzky University Oldenburg, Oldenburg, Germany.
PLoS One. 2016 Oct 10;11(10):e0164508. doi: 10.1371/journal.pone.0164508. eCollection 2016.
In 2011, a large outbreak of entero-hemorrhagic E. coli (EHEC) and hemolytic uremic syndrome (HUS) occurred in Germany. The City of Hamburg was the first focus of the epidemic and had the highest incidences among all 16 Federal States of Germany. In this article, we present epidemiological characteristics of the Hamburg notification data. Evaluating the epicurves retrospectively, we found that the first epidemiological signal of the outbreak, which was in form of a HUS case cluster, was received by local health authorities when already 99 EHEC and 48 HUS patients had experienced their first symptoms. However, only two EHEC and seven HUS patients had been notified. Middle-aged women had the highest risk for contracting the infection in Hamburg. Furthermore, we studied timeliness of case notification in the course of the outbreak. To analyze the spatial distribution of EHEC/HUS incidences in 100 districts of Hamburg, we mapped cases' residential addresses using geographic information software. We then conducted an ecological study in order to find a statistical model identifying associations between local socio-economic factors and EHEC/HUS incidences in the epidemic. We employed a Bayesian Poisson model with covariates characterizing the Hamburg districts as well as incorporating structured and unstructured spatial effects. The Deviance Information Criterion was used for stepwise variable selection. We applied different modeling approaches by using primary data, transformed data, and preselected subsets of transformed data in order to identify socio-economic factors characterizing districts where EHEC/HUS outbreak cases had their residence.
2011年,德国爆发了大规模肠出血性大肠杆菌(EHEC)感染及溶血性尿毒综合征(HUS)疫情。汉堡市是此次疫情的首个焦点,在德国16个联邦州中发病率最高。在本文中,我们展示了汉堡市报告数据的流行病学特征。通过回顾性评估流行曲线,我们发现,当已有99例EHEC患者和48例HUS患者出现首例症状时,当地卫生部门才收到以HUS病例聚集形式呈现的此次疫情的首个流行病学信号。然而,当时仅报告了2例EHEC患者和7例HUS患者。在汉堡市,中年女性感染该疾病的风险最高。此外,我们还研究了疫情期间病例报告的及时性。为分析汉堡市100个区的EHEC/HUS发病率的空间分布情况,我们使用地理信息软件绘制了病例的居住地址。随后,我们进行了一项生态研究,以找到一个统计模型,确定当地社会经济因素与疫情期间EHEC/HUS发病率之间的关联。我们采用了贝叶斯泊松模型,该模型带有描述汉堡市各区的协变量,并纳入了结构化和非结构化空间效应。偏差信息准则用于逐步变量选择。我们通过使用原始数据、转换后的数据以及转换后数据的预选子集,应用了不同的建模方法,以确定EHEC/HUS疫情病例所居住地区的社会经济特征因素。