Issue No. 02 - March-April (2012 vol. 32)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2012.31
Yarden Livnat , University of Utah
Matthew H. Samore , University of Utah
Theresa-Marie Rhyne , University of Utah
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.
applications, visual analytics, epinome, information visualization, coordinated multiple-views, infectious disease outbreak, simulations, user study
Yarden Livnat, Matthew H. Samore, Theresa-Marie Rhyne, "Epinome: A Visual-Analytics Workbench for Epidemiology Data", IEEE Computer Graphics and Applications, vol. 32, no. , pp. 89-95, March-April 2012, doi:10.1109/MCG.2012.31