Modeling the Risk of In-Person Instruction During the Coronavirus Disease 2019 Pandemic-Reference-Cited by-同舟云学术

Modeling the Risk of In-Person Instruction During the Coronavirus Disease 2019 Pandemic

Published:2024-07-12 Issue: Volume: Page:
ISSN:2644-0865
Container-title:INFORMS Journal on Applied Analytics
language:en
Short-container-title:INFORMS Journal on Applied Analytics

Author:

Liu Brian¹^ORCID,Zhang Yujia²^ORCID,Henderson Shane G.³^ORCID,Shmoys David B.³^ORCID,Frazier Peter I.³^ORCID

Affiliation:

1. Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;

2. Center for Applied Mathematics, Cornell University, Ithaca, New York 14853;

3. School of Operations Research and Information Engineering, Cornell University, Ithaca, New York 14853

Abstract

We use mathematical modeling and simulation to evaluate the safety of in-person instruction in university classrooms under different interventions. We find that, for the Delta variant of COVID-19, requiring masking when more than 90% of students are vaccinated is safe and easy to implement, without needing to assign fixed seats or improving the ventilation in classrooms. Our model supported Cornell University to safely conduct in-person instruction in fall 2021.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Link

https://pubsonline.informs.org/doi/pdf/10.1287/inte.2023.0076

Reference28 articles.

1. A post-occupancy study of ventilation effectiveness from high-resolution CO2 monitoring at live theatre events to mitigate airborne transmission of SARS-CoV-2

2. A guideline to limit indoor airborne transmission of COVID-19

3. Delta coronavirus variant: scientists brace for impact

4. Outbreak investigation of airborne transmission of Omicron (B.1.1.529) - SARS-CoV-2 variant of concern in a restaurant: Implication for enhancement of indoor air dilution

5. The COVID-19 pandemic: viral variants and vaccine efficacy