High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols | IEEE Conference Publication | IEEE Xplore

High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols


Abstract:

Contact tracing (CT) is an important and effective intervention strategy for controlling an epidemic. Its role becomes critical when pharmaceutical interventions are unav...Show More

Abstract:

Contact tracing (CT) is an important and effective intervention strategy for controlling an epidemic. Its role becomes critical when pharmaceutical interventions are unavailable. CT is resource intensive, and multiple protocols are possible, therefore the ability to evaluate strategies is important. We describe a high-performance, agent-based simulation model for studying CT during an ongoing pandemic. This work was motivated by the COVID-19 pandemic, however framework and design are generic and can be applied in other settings. This work extends our HPC-oriented ABM framework EpiHiper to efficiently represent contact tracing. The main contributions are: (i) Extension of EpiHiper to represent realistic CT processes. (ii) Realistic case study using the VA network motivated by our collaboration with the Virginia Department of Health.
Date of Conference: 12-15 December 2021
Date Added to IEEE Xplore: 23 February 2022
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Conference Location: Phoenix, AZ, USA

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