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arXiv · 2411.05243

An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies

Reet Barik·Marco Minutoli·Mahantesh Halappanavar·Ananth Kalyanaraman
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Abstract

Owing to the ongoing COVID-19 pandemic and other recent global epidemics, epidemic simulation frameworks are gaining rapid significance. In this work, we present a workflow that will allow researchers to simulate the spread of an infectious disease under different intervention schemes. Our workflow is built using the Covasim simulator for COVID-19 alongside a network-based PREEMPT tool for vaccination. The Covasim simulator is a stochastic agent-based simulator with the capacity to test the efficacy of different intervention schemes. PREEMPT is a graph-theoretic approach that models epidemic intervention on a network using submodular optimization. By integrating the PREEMPT tool with the Covasim simulator, users will be able to test network diffusion based interventions for vaccination. The paper presents a description of this integrated workflow alongside preliminary results of our empirical evaluation for COVID-19.

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Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman. 2024-11-07. An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies. https://arxiv.org/abs/2411.05243

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