DocumentCode
1452382
Title
Epinome: A Visual-Analytics Workbench for Epidemiology Data
Author
Livnat, Y. ; Rhyne, T. ; Samore, M.
Author_Institution
Univ. of Utah, Salt Lake City, UT, USA
Volume
32
Issue
2
fYear
2012
Firstpage
89
Lastpage
95
Abstract
Early detection and rapid response to infectious-disease outbreaks rely on effective decision making based on information from disparate sources. To improve decision-making in outbreak detection and response, it´s important to understand how public health practitioners seek relevant information. Epinome, a user-centric visual-analytics system, supports research on decision-making in public health, particularly evaluation of information search strategies. Epinome facilitates investigation of scripted high-fidelity large-scale simulated disease outbreaks. Its dynamic environment seamlessly evolves and adapts as the user´s tasks and focus change. This video shows how the Epinome system facilitates interactive simulations of disease outbreaks.
Keywords
data analysis; data visualisation; decision making; digital simulation; diseases; epidemics; health care; interactive systems; Epinome; early detection; effective decision making; epidemiology data; infectious disease outbreaks; interactive simulations; public health practitioners; rapid response; scripted high fidelity large scale simulated disease outbreaks; user centric visual analytics system; visual analytics workbench; Adaptation models; Decision making; Diseases; Medical expert systems; Medical information systems; Public healthcare; Search problems; Visualization; applications; coordinated multiple-views; epinome; infectious disease outbreak; information visualization; simulations; user study; visual analytics;
fLanguage
English
Journal_Title
Computer Graphics and Applications, IEEE
Publisher
ieee
ISSN
0272-1716
Type
jour
DOI
10.1109/MCG.2012.31
Filename
6155166
Link To Document