I ndemics

Author:

Bisset Keith R.1,Chen Jiangzhuo1,Deodhar Suruchi2,Feng Xizhou3,Ma Yifei2,Marathe Madhav V.2

Affiliation:

1. NDSSL, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA

2. NDSSL, Virginia Bioinformatics Institute, Virginia Tech, Department of Computer Science, Virginia Tech, Blacksburg, VA

3. NDSSL, Virginia Bioinformatics Institute, Virginia Tech, Department of Mathematics, Statistics, and Computer Science, Marquette University, Blacksburg, VA

Abstract

We describe the design and prototype implementation of I ndemics (_Interactive; Epi_demic; _Simulation;)—a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. I ndemics can support policy analysts and epidemiologists interested in planning and control of pandemics. I ndemics 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. I ndemics is available to end-users via a web-based interface. Detailed performance analysis shows that I ndemics greatly enhances the capability and productivity of simulating complex intervention strategies with a marginal decrease in performance. We also demonstrate how I ndemics was applied in some real case studies where complex interventions were implemented.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Modeling and Simulation

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