title: Epinome - a novel workbench for epidemic investigation and analysis of search strategies in public health practice.
abstract: 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.
authors.affiliation: University of Utah, Salt Lake City, UT.
authors.forename: Yarden
authors.initials: Y
authors.lastname: Livnat
authors.forename: Per
authors.initials: P
authors.lastname: Gesteland
authors.forename: Jose
authors.initials: J
authors.lastname: Benuzillo
authors.forename: Warren
authors.initials: W
authors.lastname: Pettey
authors.forename: Dan
authors.initials: D
authors.lastname: Bolton
authors.forename: Frank
authors.initials: F
authors.lastname: Drews
authors.forename: Heidi
authors.initials: H
authors.lastname: Kramer
authors.forename: Matthew
authors.initials: M
authors.lastname: Samore
mesh_terms: D003657:Decision Making; D003661:Decision Support Techniques; D004196:Disease Outbreaks; D058872:Epidemics; D006801:Humans; D011634:Public Health; D015980:Public Health Practice