Year: 2021
Type: preprint
Abstract: We report on results from the application of a new computational model designed to address challenges faced by policymakers in designing and implementing COVID-19 containment measures in the face of substantial uncertainty and heterogeneity.
Institution: Washington University in St. Louis
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4205682804
