North Carolina COVID-19 Agent-Based Model Framework for Hospitalization Forecasting Overview, Design Concepts, and Details Protocol
arXiv:2106.04461v16 citations
Originality Synthesis-oriented
AI Analysis
This work addresses forecasting hospitalizations during the COVID-19 pandemic for public health planning, but it is incremental as it focuses on protocol description rather than new results.
The researchers developed an agent-based model to simulate COVID-19 hospitalizations, providing a detailed protocol for replication by other modelers.
This Overview, Design Concepts, and Details Protocol (ODD) provides a detailed description of an agent-based model (ABM) that was developed to simulate hospitalizations during the COVID-19 pandemic. Using the descriptions of submodels, provided parameters, and the links to data sources, modelers will be able to replicate the creation and results of this model.