COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina

COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina

We document the evolution and use of the stochastic agent-based COVID-19 simulation model (COVSIM) to study the impact of population behaviors and public health policy on disease spread within age, race/ethnicity, and urbanicity subpopulations in North Carolina. We detail the methodologies used to m...

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Bibliographic Details
Main Authors: Erik T. Rosenstrom, Julie S. Ivy, Maria E. Mayorga, Julie L. Swann
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Epidemics
Subjects:
COVID-19 scenario modeling hub
Stochastic agent-based simulation
Health equity
Local public health decision making
Infectious disease modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436524000136

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http://www.sciencedirect.com/science/article/pii/S1755436524000136

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