Livnat Yarden, Gesteland Per, Benuzillo Jose, Pettey Warren, Bolton Dan, Drews Frank, Kramer Heidi, Samore Matthew
University of Utah, Salt Lake City, UT.
AMIA Annu Symp Proc. 2010 Nov 13;2010:647-51.
We present a novel user-centric visual analytics system that supports investigation of simulated disease outbreak and the study of decision-making. We developed Epinome as part of our research on decision making in public health and in particular, on the evaluation of information search strategies in public health practice. Epinome is a highly dynamic web-based system that provides a platform to track and study subjects' decision making and information search strategies, under controlled and repeatable conditions using simulated disease outbreaks. In this paper we focus on the design and implementation of Epinome and present relevant results from field tests we conducted in Utah and Colorado.
我们展示了一个新颖的以用户为中心的视觉分析系统,该系统支持对模拟疾病爆发的调查以及决策研究。作为我们在公共卫生决策研究的一部分,特别是在公共卫生实践中信息搜索策略评估方面的研究成果,我们开发了Epinome。Epinome是一个基于网络的高度动态系统,它提供了一个平台,用于在使用模拟疾病爆发的可控且可重复的条件下,跟踪和研究受试者的决策及信息搜索策略。在本文中,我们重点关注Epinome的设计与实现,并展示我们在犹他州和科罗拉多州进行的实地测试的相关结果。