History matching with Gaussian-process emulation calibrates the Covasim COVID-19 agent-based model using about 5,300 runs instead of 100,000, producing posterior parameters that reproduce observed cases and deaths.
beta”, the relative per-contact transmission reductions in work and community layers from March 23, 2020 onwards (“bc_wc1
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Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
History matching with Gaussian-process emulation calibrates the Covasim COVID-19 agent-based model using about 5,300 runs instead of 100,000, producing posterior parameters that reproduce observed cases and deaths.