An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910689553022976 |
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| author | Barik, Reet Minutoli, Marco Halappanavar, Mahantesh Kalyanaraman, Ananth |
| author_facet | Barik, Reet Minutoli, Marco Halappanavar, Mahantesh Kalyanaraman, Ananth |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_05243 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies Barik, Reet Minutoli, Marco Halappanavar, Mahantesh Kalyanaraman, Ananth Social and Information Networks 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. |
| title | An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2411.05243 |