COVID-19 aerosol transmission simulation-based risk analysis for in-person learning.

ABSTRACT: As educational institutions begin a school year following a year and a half of disruption from the COVID-19 pandemic, risk analysis can help to support decision-making for resuming in-person instructional operation by providing estimates of the relative risk reduction due to different interventions. In particular, a simulation-based risk analysis approach enables scenario evaluation and comparison to guide decision making and action prioritization under uncertainty. We develop a simulation model to characterize the risks and uncertainties associated with infections resulting from aerosol exposure in in-person classes. We demonstrate this approach by applying it to model a semester of courses in a real college with approximately 11,000 students embedded within a larger university. To have p

SUBMITTER: Swanson T 

PROVIDER: S-EPMC9302819 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature