ESSENCE
ESSENCE
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DOI：
10.1007/978-1-4419-1278-7_10
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发表时间：
2010-01-01
期刊：
影响因子：
--
通讯作者：
Yan, Ping
中科院分区：
文献类型：
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作者：
Chen, Hsinchun;Zeng, Daniel;Yan, Ping
基于社区的流行病早期预警电子监测系统（ESSENCE）是由约翰霍普金斯大学应用物理实验室（JHU/APL）在国防高级研究计划局（DARPA）的赞助下，与马里兰州卫生和精神卫生部、哥伦比亚特区卫生部和弗吉尼亚州卫生部合作开发的。它现在被用于国防部全球新兴感染系统（DoD-GEIS）。它目前部署在国家首都地区（NCA） （Lombardo et al., 2004）。该系统每天监测军事和民用医疗数据，以便及早发现和预警疫情，融合来自多个数据源的信息，这些数据源在医疗特异性、空间组织、规模和时间序列行为方面各不相同（Burkom等人，2004年）。ESSENCE经历了一系列重要的发展阶段，其最新的原型是ESSENCE iv，其系统架构如图10-1所示。它从三个主要渠道收集公共卫生状况信息：临床数据、非临床综合征数据和卫生事件相关信息。通过披露控制或共享策略来管理所收集信息的可访问性，以确保个人医疗保健信息的隐私性。支持自动爆发检测和警报。态势和威胁意识以及流行病学调查支持与安全的基于web的可视化和用户界面集成在一起。
The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) was developed by the Johns Hopkins University Applied Physics Laboratory (JHU/APL) in collaboration with the Maryland Department of Health and Mental Hygiene, the District of Columbia Department of Health, and the Virginia Department of Health under the sponsorship of the Defense Advanced Research Projects Agency (DARPA). It is now used in the Department of Defense Global Emerging Infections System (DoD-GEIS). It is currently deployed in the National Capital Area (NCA) (Lombardo et al., 2004). The system monitors both military and civilian healthcare data daily for early outbreak detection and warning, fusing information from multiple data sources that vary in their medical specificity, spatial organization, scale, and time-series behavior (Burkom et al., 2004). ESSENCE has gone through a series of important development stages, and its most current prototype is ESSENCE IV.Figure 10-1 shows the system architecture of ESSENCE. It collects public health status information from three major channels: clinical data, nonclinical syndromic data, and health events-related information. The accessibility of the collected information is managed by either disclosure control or sharing polices to ensure the privacy of personal healthcare information. Automated outbreak detection and alerting are supported. Situation and threat awareness and epidemiology investigation support are integrated with secured Web-based visualization and user interfaces.