title: Epinome: a visual-analytics workbench for epidemiology data.
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.
authors.forename: Yarden
authors.initials: Y
authors.lastname: Livnat
authors.forename: Theresa-Marie
authors.initials: TM
authors.lastname: Rhyne
authors.forename: Matthew H
authors.initials: MH
authors.lastname: Samore
mesh_terms: D003196:Computer Graphics; D003198:Computer Simulation; D003628:Database Management Systems; D004196:Disease Outbreaks; D004813:Epidemiology; D006801:Humans