Modeling for COVID-19 college reopening decisions: Cornell, a case study
Abstract
Decisions surrounding how to safely reopen universities directly impact 7% of the US population (students, staff) and indirectly impact tens of millions more (families, communities). After witnessing large COVID-19 outbreaks among students from August 2020 to the present, universities want to provide safety while minimizing social and financial costs, despite uncertainty about vaccine hesitancy, vaccine efficacy, more transmissible variants with the potential for immune escape, and community prevalence. When the Delta variant is dominant, we find substantial risk reduction in moving student populations from mostly (75%) to fully (100%) vaccinated, in testing vaccinated students once per week even when all students are vaccinated, and in more frequent testing targeted to the most social groups of students.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jan 04, 2022
- Source ID
- 10.1073/pnas.2112532119
Entities
People
- Alyf Janmohamed
- Brian Liu
- David Shmoys
- J. Massey Cashore
- Jiayue Wan
- Ning Duan
- Peter Frazier
- Shane Henderson
- Yujia Zhang
Organizations
- Air Force Office of Scientific Research
- Cornell University
- National Science Foundation