| Literature DB >> 25346586 |
Keith R Bisset1, Jiangzhuo Chen1, Suruchi Deodhar2, Xizhou Feng3, Yifei Ma2, Madhav V Marathe2.
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-based adaptive 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.Entities:
Keywords: Design; Human Factors; Performance; infectious disease; interactive computation; modeling and simulation; network dynamics; parallel computation
Year: 2014 PMID: 25346586 PMCID: PMC4207128 DOI: 10.1145/2501602
Source DB: PubMed Journal: ACM Trans Model Comput Simul ISSN: 1049-3301 Impact factor: 1.075