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使用基于非结构化事件的报告进行全球传染病监测。

Use of unstructured event-based reports for global infectious disease surveillance.

作者信息

Keller Mikaela, Blench Michael, Tolentino Herman, Freifeld Clark C, Mandl Kenneth D, Mawudeku Abla, Eysenbach Gunther, Brownstein John S

机构信息

Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Boston, USA.

出版信息

Emerg Infect Dis. 2009 May;15(5):689-95. doi: 10.3201/eid1505.081114.

Abstract

Free or low-cost sources of unstructured information, such as Internet news and online discussion sites, provide detailed local and near real-time data on disease outbreaks, even in countries that lack traditional public health surveillance. To improve public health surveillance and, ultimately, interventions, we examined 3 primary systems that process event-based outbreak information: Global Public Health Intelligence Network, HealthMap, and EpiSPIDER. Despite similarities among them, these systems are highly complementary because they monitor different data types, rely on varying levels of automation and human analysis, and distribute distinct information. Future development should focus on linking these systems more closely to public health practitioners in the field and establishing collaborative networks for alert verification and dissemination. Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting.

摘要

免费或低成本的非结构化信息来源,如互联网新闻和在线讨论网站,即使在缺乏传统公共卫生监测的国家,也能提供有关疾病爆发的详细本地及近实时数据。为了改善公共卫生监测并最终改进干预措施,我们研究了3个处理基于事件的疫情信息的主要系统:全球公共卫生情报网络、健康地图和EpiSPIDER。尽管它们之间存在相似之处,但这些系统具有高度互补性,因为它们监测不同的数据类型,依赖不同程度的自动化和人工分析,并分发不同的信息。未来的发展应侧重于将这些系统与实地的公共卫生从业者更紧密地联系起来,并建立用于警报核实和传播的协作网络。这样的发展将进一步确立基于事件的监测作为一种宝贵的公共卫生资源,提供关键背景信息,并成为传统基于指标的疫情报告的一种替代方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/578d/2687026/e07feddad61d/08-1114-F.jpg

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