research-article

Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling

Authors:

Keith R. Bisset,

Jiangzhuo Chen,

Suruchi Deodhar,

Madhav V. MaratheAuthors Info & Claims

ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 24, Issue 1

Article No.: 4, Pages 1 - 32

https://doi.org/10.1145/2501602

Published: 01 January 2014 Publication History

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.

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Cited By

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Chen JBhattacharya PHoops SMachi DAdiga AMortveit HVenkatramanan SLewis BMarathe M(2024)Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling HubEpidemics10.1016/j.epidem.2024.10077948(100779)Online publication date: Sep-2024
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Parsons MBhattacharya PChen JHoops SMachi DLewis BVenkatramanan SWilson MKlahn BAdiga AHurt BOutten JAdiga AWarren ABaek YPorebski PMarathe AXie DSwarup SVullikanti AMortveit HEubank SBarrett CMarathe M(2023)Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision supportInternational Journal of High Performance Computing Applications10.1177/1094342022112703437:1(4-27)Online publication date: 1-Jan-2023
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Index Terms

Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling
1. Computing methodologies
  1. Modeling and simulation
2. Information systems
  1. Information systems applications

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cover image ACM Transactions on Modeling and Computer Simulation

ACM Transactions on Modeling and Computer Simulation Volume 24, Issue 1

Special issue on simulation in complex service systems

January 2014

125 pages

ISSN:1049-3301

EISSN:1558-1195

DOI:10.1145/2578853

Issue’s Table of Contents

Copyright © 2014 ACM.

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Publication History

Published: 01 January 2014

Accepted: 01 May 2013

Revised: 01 April 2013

Received: 01 October 2011

Published in TOMACS Volume 24, Issue 1

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