用于早期预警的近实时疫情监测系统作为JCS

L. Pellegrin, C. Gaudin, G. Texier, J. Meynard, H. Chaudet
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引用次数: 1

摘要

本次演讲介绍了一种近乎实时的疫情监测系统ASTER,该系统可帮助医生在法国军事部署中解决疫情早期预警的管理问题。研究的方法。我们的方法是表明ASTER可以被描述为属于特定社会技术网络、监视网络和人工决策支持系统的行动者之间的联合认知系统。发现/设计——设置了两个爆发管理模拟。流行病学家(分析网络)在模拟情景中进行了观察,其中涉及在吉布提部署的第一种情景和在乍得部署的第二种情景中的自然和故意暴发。原创性/价值——这些研究的结果强调了构建共享问题表征的核心作用。这种表现似乎主要是决策过程中的合作活动的结果,这些活动得到主系统ASTER的大力支持,但也得到其他决策支持系统和非计算机化的更经典的人工制品的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near real-time outbreak surveillance system for early warning as a JCS
Motivation -- This presentation introduces a near-real time outbreak surveillance system, ASTER, which assists physicians in the resolution the management of the outbreak early warning in French military deployment. Research approach. Our approach is to show that ASTER could be described as a joint cognitive system between actors belonging to a specific socio-technical network, a surveillance network and an artificial decision-supported system. Findings/Design -- Two simulations of an outbreak management have been set up. Observations of epidemiologists (analysis network) were conducted during simulated scenarii involving natural and intentional outbreaks within French Forces deployed for the first scenario, in Djibouti, and for the second one, in Tchad. Originality/Value -- The results of these studies highlight the central role of the building of a shared problem representation. This representation appears mainly to result from cooperative activities during decision making processes which are strongly supported by the main system, ASTER, but also by a panel of other decision-support systems and non-computerized and more classical artefacts.
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