Document Type
Article
Language
eng
Publication Date
1-2014
Publisher
Association for Computing Machinery
Source Publication
ACM Transactions on Modeling and Computer Simulation
Source ISSN
1049-3301
Original Item ID
doi: 10.1145/2501602; PubMed Central: PMCID 4207128
Abstract
We describe the design and prototype implementation of Indemics (_Interactive; Epi_demic; _Simulation;)—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.
Recommended Citation
Bisset, Keith R.; Chen, Jiangzhuo; Deodhar, Suruchi; Feng, Xizhou; Ma, Yifei; and Marathe, Madhav V., "INDEMICS: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling" (2014). Mathematics, Statistics and Computer Science Faculty Research and Publications. 256.
https://epublications.marquette.edu/mscs_fac/256
Comments
Accepted version. ACM Transactions on Modeling and Computer Simulation, Vol. 24, No. 1 (January 2014). DOI. © 2014 Association for Computing Machinery. Used with permission.