An agent-based simulation of COVID-19 transmission and learning loss in schools: an evaluation of mitigation strategies

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Eva Enns and Kenneth Chen present an agent-based model that simulates the spread of COVID-19 transmission in a typical high school environment to explore tradeoffs between COVID-19 mitigation measures and learning loss. They calibrated the model to reproduce outcomes of the delta variant wave in fall 2021 in a local high school. They then used this model to evaluate the expected number of infections and number of school days lost under different COVID-19 isolation, quarantine, and testing policies in the context of the current BA.5 omicron wave, projecting into the fall 2022 semester. Enns and Chen then evaluated how outcomes and tradeoffs change under low- and high-uptake assumptions around mask use and COVID-19 vaccination in the school community.

Presenters

Eva Enns, PhD Associate Professor Division of Health Policy & Management

Kenneth Chen Senior at East Ridge High School Woodbury, Minnesota

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