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North Carolina COVID-19 Agent-Based Model Framework for Hospitalization Forecasting Overview, Design Concepts, and Details Protocol

Artificial Intelligence 2021-06-09 v1 Multiagent Systems Applications
Authors: Kasey Jones , Emily Hadley , Sandy Preiss , Caroline Kery , Peter Baumgartner , Marie Stoner , Sarah Rhea
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Abstract

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.

Keywords

agent-based model covid-19 hospitalization forecasting odd protocol model replication

Cite

@article{arxiv.2106.04461,
  title  = {North Carolina COVID-19 Agent-Based Model Framework for Hospitalization Forecasting Overview, Design Concepts, and Details Protocol},
  author = {Kasey Jones and Emily Hadley and Sandy Preiss and Caroline Kery and Peter Baumgartner and Marie Stoner and Sarah Rhea},
  journal= {arXiv preprint arXiv:2106.04461},
  year   = {2021}
}

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