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DOE OSTI · 2516863

Model-form Error Correction using Universal Differential Equations for an Agent-Based Model of Infectious Disease

Nguyen, Kyle Cuongthe [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)]·Ritscher, Kyle Thomas [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)]·Ray, Jaideep [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)]·Acquesta, Erin Carolyn Solfiell [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)]
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Abstract

This report demonstrates universal differential equations (UDEs) as an approach to bridge the gap between ordinary differential equations (ODE) models and agent-based models (ABMs). Using UDE models as surrogates for ABMs allows us to preserve the foundational ODE that represents global disease dynamics while coupling it with a neural network model to approximate functions for the local behaviors of the ABM.

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59 BASIC BIOLOGICAL SCIENCES97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Nguyen, Kyle Cuongthe [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Ritscher, Kyle Thomas [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Ray, Jaideep [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)], Acquesta, Erin Carolyn Solfiell [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)]. 2024-12-01. Model-form Error Correction using Universal Differential Equations for an Agent-Based Model of Infectious Disease. https://doi.org/10.2172/2516863

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