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首页> 外文期刊>Canadian journal of public health: Revue canadienne de sante publique >A multi-function public health surveillance system and the lessons learned in its development: the Alberta Real Time Syndromic Surveillance Net.
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A multi-function public health surveillance system and the lessons learned in its development: the Alberta Real Time Syndromic Surveillance Net.

机译：多功能公共卫生监视系统及其开发中的经验教训：艾伯塔省实时症状监测网。

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OBJECTIVE: We describe a centralized automated multi-function detection and reporting system for public health surveillance--the Alberta Real Time Syndromic Surveillance Net (ARTSSN). This improves upon traditional paper-based systems which are often fragmented, limited by incomplete data collection and inadequate analytical capacity, and incapable of providing timely information for public health action. METHODS: ARTSSN concurrently analyzes multiple electronic data sources in real time to describe results in tables, charts and maps. Detected anomalies are immediately disseminated via alerts to decision-makers for action. RESULTS: ARTSSN provides richly integrated information on a variety of health conditions for early detection of and prompt action on abnormal events such as clusters, outbreaks and trends. Examples of such health conditions include chronic and communicable disease, injury and environment-mediated adverse incidents. DISCUSSION: Key advantages of ARTSSN over traditional paper-based methods are its timeliness, comprehensiveness and automation. Public health surveillance of communicable disease, injury, environmental hazard exposure and chronic disease now occurs in a single system in real time year round. Examples are given to demonstrate the public health value of this system, particularly during Pandemic (H1N1) 2009.
机译：目的：我们描述了一种用于公共卫生监控的集中式自动化多功能检测和报告系统-艾伯塔省实时症状监测网（ARTSSN）。这改善了传统的基于纸张的系统，这些系统通常是零散的，受数据收集不完整和分析能力不足的限制，并且无法为公共卫生行动提供及时的信息。方法：ARTSSN同时实时分析多个电子数据源，以表格，图表和地图形式描述结果。检测到的异常会通过警报立即分发给决策者以采取行动。结果：ARTSSN为各种健康状况提供了丰富的综合信息，以及早发现异常事件，并迅速采取行动，例如集群，爆发和趋势。这种健康状况的例子包括慢性和传染病，伤害和环境介导的不良事件。讨论：ARTSSN相对于传统的基于纸张的方法的主要优势在于其及时性，全面性和自动化性。现在，可以全年在单个系统中实时进行传染病，伤害，环境危害暴露和慢性病的公共卫生监视。举例说明了该系统的公共卫生价值，尤其是在2009年H1N1大流行期间。

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