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首页> 外文期刊>JMIR public health and surveillance. >ESSENCE, the Electronic Surveillance System for the Early Notification of Community-Based Epidemics: Overview, Components, Public Health Applications
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ESSENCE, the Electronic Surveillance System for the Early Notification of Community-Based Epidemics: Overview, Components, Public Health Applications

机译：基于社区流行病的早期通知的电子监测系统：概述，组成部分，公共卫生应用

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Background The Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) is a secure web-based tool that enables health care practitioners to monitor health indicators of public health importance for the detection and tracking of disease outbreaks, consequences of severe weather, and other events of concern. The ESSENCE concept began in an internally funded project at the Johns Hopkins University Applied Physics Laboratory, advanced with funding from the State of Maryland, and broadened in 1999 as a collaboration with the Walter Reed Army Institute for Research. Versions of the system have been further developed by Johns Hopkins University Applied Physics Laboratory in multiple military and civilian programs for the timely detection and tracking of health threats. Objective This study aims to describe the components and development of a biosurveillance system increasingly coordinating all-hazards health surveillance and infectious disease monitoring among large and small health departments, to list the key features and lessons learned in the growth of this system, and to describe the range of initiatives and accomplishments of local epidemiologists using it. Methods The features of ESSENCE include spatial and temporal statistical alerting, custom querying, user-defined alert notifications, geographical mapping, remote data capture, and event communications. To expedite visualization, configurable and interactive modes of data stratification and filtering, graphical and tabular customization, user preference management, and sharing features allow users to query data and view geographic representations, time series and data details pages, and reports. These features allow ESSENCE users to gather and organize the resulting wealth of information into a coherent view of population health status and communicate findings among users. Results The resulting broad utility, applicability, and adaptability of this system led to the adoption of ESSENCE by the Centers for Disease Control and Prevention, numerous state and local health departments, and the Department of Defense, both nationally and globally. The open-source version of Suite for Automated Global Electronic bioSurveillance is available for global, resource-limited settings. Resourceful users of the US National Syndromic Surveillance Program ESSENCE have applied it to the surveillance of infectious diseases, severe weather and natural disaster events, mass gatherings, chronic diseases and mental health, and injury and substance abuse. Conclusions With emerging high-consequence communicable diseases and other health conditions, the continued user requirement–driven enhancements of ESSENCE demonstrate an adaptable disease surveillance capability focused on the everyday needs of public health. The challenge of a live system for widely distributed users with multiple different data sources and high throughput requirements has driven a novel, evolving architecture design.
机译：背景技术基于社区流行病的早期通知的电子监视系统是一种安全的网络工具，使医疗从业者能够监测公共卫生的健康指标，以便检测和跟踪疾病爆发，恶劣天气后果和其他关注事件。本质概念始于约翰霍普金斯大学应用物理实验室的内部资助项目，为马里兰州的资金提供资金，并于1999年扩大了与沃尔特芦苇陆军研究所的合作。约翰·霍普金斯大学在多个军事和平民方案中进一步开发了该系统的版本，用于及时检测和跟踪健康威胁。目的本研究旨在描述生物训练系统的组成部分和发展，日益协调大小和小型健康部门之间的全危害健康监测和传染病监测，以列出该系统增长的关键特征和经验教训，并描述使用它的当地流行病学家的倡议和成就范围。方法本质的特征包括空间和时间统计警报，自定义查询，用户定义的警报通知，地理映射，远程数据捕获和事件通信。为了加快可视化，可配置和交互式数据分层和滤波模式，图形和表格自定义，用户偏好管理和共享功能允许用户查询数据和查看地理陈述，时间序列和数据详细信息页面以及报告。这些特征允许精华用户收集并将其造成丰富的信息集成为人口健康状况的连贯视图，并在用户之间传达调查结果。结果采取了该系统的广泛效用，适用性和适应性导致疾病控制和预防中心，众多国家和地方卫生部门以及国家和全球的国防部采用本质。自动全球电子生物生物生物生物系统套件的开源版本可用于全球资源限制的设置。美国国家综合征监督计划本质的机械化用户已将其应用于传染病监测，严重的天气和自然灾害事件，群众聚会，慢性病和心理健康，以及伤害和药物滥用。结论具有新兴的高结果传染病和其他健康状况，持续的用户需求驱动的精华增强表明，适应性疾病监测能力侧重于公共卫生的日常需求。具有多种不同数据源和高吞吐量需求的广泛分布式用户的现场系统的挑战推动了一种新颖，不断发展的架构设计。

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