Article
Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics
Aug 11, 2023
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The COVID-19 pandemic placed a heavy burden on national and global healthcare systems. To accurately predict the number of hospitalizations during the COVID-19 pandemic a spatiotemporal prediction model, HOIST, was developed. HOIST is an Ising dynamics-based deep learning model for spatiotemporal COVID-19 hospitalization prediction. By leveraging rich linked databases, including insurance claims, census information, and hospital resource usage data across the U.S., the HOIST model was evaluated on the large-scale spatiotemporal COVID-19 hospitalization prediction task for 2,299 counties in the U.S. This model may serve as a resource for future county and state-level vaccination efforts.

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