%0 Journal Article %1 Bisset:2014:tomacs %A Bisset, Keith R. %A Chen, Jiangzhuo %A Deodhar, Suruchi %A Feng, Xizhou %A Ma, Yifei %A Marathe, Madhav V. %D 2014 %J ACM Transactions on Modeling and Computer Simulation (TOMACS) %K epidemes %N 1 %R 10.1145/2501602 %T Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling. %U http://dblp.uni-trier.de/db/journals/tomacs/tomacs24.html#BissetCDFMM14 %V 24 %X 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.

@article{Bisset:2014:tomacs, 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.}, added-at = {2017-03-15T17:16:22.000+0100}, author = {Bisset, Keith R. and Chen, Jiangzhuo and Deodhar, Suruchi and Feng, Xizhou and Ma, Yifei and Marathe, Madhav V.}, biburl = {https://www.bibsonomy.org/bibtex/2e65324c9f49e019dfe0664347a6a7156/krevelen}, description = {Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling. - PubMed - NCBI}, doi = {10.1145/2501602}, interhash = {be24e528fbc56e246c81d2c0cbffb0a8}, intrahash = {e65324c9f49e019dfe0664347a6a7156}, journal = {ACM Transactions on Modeling and Computer Simulation (TOMACS)}, keywords = {epidemes}, month = jan, number = 1, pmid = {25346586}, timestamp = {2017-03-15T17:16:22.000+0100}, title = {Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling.}, url = {http://dblp.uni-trier.de/db/journals/tomacs/tomacs24.html#BissetCDFMM14}, volume = 24, year = 2014 }