Paper Info
Title
Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling
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.
Year
DOI
Venue
2014
10.1145/2501602
ACM Trans. Model. Comput. Simul.
Keywords
DocType
Volume
Design,Human Factors,Performance,infectious disease,interactive computation,modeling and simulation,network dynamics,parallel computation
Journal
24
Issue
ISSN
Citations 
1
1049-3301
3
PageRank 
References 
Authors
0.40
15
6
Name
Order
Citations
PageRank
Keith R. Bisset134628.60
Jiangzhuo Chen220822.89
Suruchi Deodhar3173.21
Xizhou Feng4104765.23
Yifei Ma5387.20
Madhav Marathe62775262.17