The SARS-CoV-2 pandemic has driven a need for models that can predict transmission among populations and test the effectiveness of proposed interventions to control it such as testing, quarantining, vaccinations, and nonpharmaceutical interventions. This report describes a hybrid approach that is mostly agent based, but utilizes Ro and time frames from ordinary differential equation (ODE) models to estimate infection rates and reduce data requirements. The ExtendSim model developed is intended to inform management decisions regarding testing and quarantine policies and technologies.
Agent-based Disease Surveillance and Transmission Model
- Source: COVID Systems Analysis Group
- Specific Source: Lawrence Livermore National Laboratory
- Date: December 2021
