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 :
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