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General Information

Artifact Type
Preprint/Prospective Article
Title: EpiHiper - A High Performance Computational Modeling Framework to Support Epidemic Science
Abstract/Short Description

This paper describes EpiHiper, a state-of-the art high performance computational modeling framework supporting epidemic science. The EpiHiper modeling framework permits custom disease models and can simulate epidemics over dynamic, large-scale networks, while supporting modulation of the epidemic evolution through a set of user- programmable interventions.

Files
Attachment Size
Manuscript in review (Nov 2022) 2.23 MB

Authorship

Authors
Chen J
Hoops S
Mortveit H
Machi D
Bhattacharya P
Barrett C
Marathe M

Publication Details

Year
2022
Month
November
Day
1
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Other Information

Funding Agency
Centers for Disease Control and Prevention
Defense Threat Reduction Agency
National Institutes of Health (NIH)
National Science Foundation
University of Virginia
Virginia Department of Health
Institute Technical Report Number
BI-2022-1783