http://www.sci.utah.edu/gallery2/v/software/epinome/
The overall objective is to develop, implement, and evaluate a user-centric integrated visual analytic and decision support systems to enhance core public health missions of prevention, protection, and promotion of healthy behavior. The scope of this project encompasses community health assessment, integrated public health surveillance, and outbreak investigation.

The DSIDE Research Team from the University of Utah, Virginia Bioinformatics Institute, and Michigan School of Public Health, worked together to create these simulations based on analysis of historical numbers, published mathematical models, and input from experts in both theoretical infectious disease epidemiology and from those who have worked in in-field infectious disease investigations.]]> en-us Gallery 2 RSS Module, version 1.1.7 Wed, 22 May 2013 10:31:57 -0600 120 http://www.sci.utah.edu/gallery2/d/3489-5/epinome.jpg http://www.sci.utah.edu/gallery2/v/software/epinome/ http://www.sci.utah.edu/gallery2/v/software/epinome/overview.html http://www.sci.utah.edu/gallery2/v/software/epinome/overview.html
Epinome contains movable timelines, choropleth mapping, line-list querying, and various tools for aggregating and stratifying data.  Epinome contains user logging tools, allowing analysis of data seeking strategies in real-time and will eventually also display the simulated pandemic influenza data.]]> Nathan Galli photo Tue, 05 Mar 2013 16:18:11 -0700