Tracking Twitter for epidemic intelligence: case study: EHEC/HUS outbreak in Germany, 2011
Tracking Twitter for epidemic intelligence: case study: EHEC/HUS outbreak in Germany, 2011
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跟踪 Twitter 获取流行病情报：案例研究：2011 年德国 EHEC/HUS 疫情
DOI：
10.1145/2380718.2380730
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Avare Stewart
中科院分区：
文献类型：
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作者：
Ernesto Diaz;Avare Stewart
在突发疫情的情况下，如何利用社交媒体流来加强监测能力？2011年5月，德国报告了有史以来最大的肠出血性大肠杆菌（EHEC）暴发之一。产志贺毒素的菌株O104:H4感染了数千人，经常导致溶血性尿毒症综合征（HUS）和胃肠炎（GI）。截至6月底，已有47人死亡。在这项工作中，我们研究了疫情爆发期间Twitter上的人群行为。特别是，我们介绍了如何利用Twitter来支持流行病情报（EI）的早期预警、信号评估和疫情调查任务。与德国国家级公共卫生机构罗伯特·科赫研究所（Robert Koch Institute）和下萨克森州卫生局（Lower Saxony State health Department， NLGA）的专家进行的用户研究，为实现基于Twitter的开放式预警系统提供了重要见解，有助于实现“人群为人群提供流行病情报”的愿景。
In the presence of sudden outbreaks, how can social media streams be used to strengthen surveillance capacity? In May 2011, Germany reported one of the largest described outbreaks of Enterohemorrhagic Escherichia coli (EHEC). The Shiga toxin-producing strain O104:H4 infected several thousand people, frequently leading to haemolytic uremic syndrome (HUS) and gastroenteritis (GI). By the end of June, 47 persons had died. In this work, we study the crowd's behavior in Twitter during the outbreak. In particular, we present how Twitter can be exploited to support Epidemic Intelligence (EI) in the tasks of early warning, signal assessment and outbreak investigation. A user study with experts from the Robert Koch Institute, Germany's national-level public health authority, and from Lower Saxony State Health Department (NLGA) provide important insights towards the realization of an open early warning system based on Twitter, helping to realize the vision of Epidemic Intelligence for the Crowd, by the Crowd.