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

Jones, Kasey, Hadley, Emily, Preiss, Sandy, Kery, Caroline, Baumgartner, Peter, Stoner, Marie, Rhea, Sarah

Jun-8-2021–arXiv.org Artificial Intelligence

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.

artificial intelligence, bayesian inference, machine learning, (16 more...)

arXiv.org Artificial Intelligence

Jun-8-2021

arXiv.org PDF

Add feedback

Country:
- North America > United States (1.00)

Genre:
- Research Report > Experimental Study (0.68)

Industry:
- Government > Regional Government
  - North America Government > United States Government (0.68)
- Health & Medicine
  - Epidemiology (1.00)
  - Therapeutic Area
    - Immunology (1.00)
    - Infections and Infectious Diseases (1.00)
    - Pulmonary/Respiratory Diseases (1.00)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (0.68)
  - Representation & Reasoning
    - Agents (1.00)
    - Uncertainty > Bayesian Inference (0.68)

Duplicate Docs Excel Report

Title
None found

Similar Docs Excel Report more

Title	Similarity	Source
None found