title: Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling.
abstract: We describe the design and prototype implementation of Indemics (Interactive EpidemicSimulation)-a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. Indemics can support policy analysts and epidemiologists interested in planning and control of pandemics. Indemics goes beyond traditional epidemic simulations by providing a simple and powerful way to represent and analyze policy-based as well as individual-basedadaptive interventions. Users can also stop the simulation at any point, assess the state of the simulated system, and add additional interventions. Indemics is available to end-users via a web-based interface. Detailed performance analysis shows that Indemics greatly enhances the capability and productivity of simulating complex intervention strategies with a marginal decrease in performance. We also demonstrate how Indemics was applied in some real case studies where complex interventions were implemented.
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech.
authors.forename: Keith R
authors.initials: KR
authors.lastname: Bisset
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech.
authors.forename: Jiangzhuo
authors.initials: J
authors.lastname: Chen
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech, Department of Computer Science, Virginia Tech.
authors.forename: Suruchi
authors.initials: S
authors.lastname: Deodhar
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech, Department of Mathematics, Statistics, and Computer Science, Marquette University.
authors.forename: Xizhou
authors.initials: X
authors.lastname: Feng
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech, Department of Computer Science, Virginia Tech.
authors.forename: Yifei
authors.initials: Y
authors.lastname: Ma
authors.affiliation: Virginia Bioinformatics Institute, Virginia Tech, Department of Computer Science, Virginia Tech.
authors.forename: Madhav V
authors.initials: MV
authors.lastname: Marathe
keywords: Design; Human Factors; Performance; infectious disease; interactive computation; modeling and simulation; network dynamics; parallel computation