Unknown

Dataset Information

Modeling optimal reopening strategies for COVID-19 and its variants by keeping infections low and fixing testing capacity.


ABSTRACT: Since early March 2020, government agencies have utilized a wide variety of non-pharmaceutical interventions to mitigate the spread of COVID-19 and have struggled to determine when it is appropriate to return to in-person activities after an outbreak is detected. At many universities, fundamental issues related to understanding the spread of the disease (e.g. the transmission rate), the ability of administrators to respond quickly enough by closing when there is a sudden rise in cases, and how to make a decision on when to reopen remains a concern. Surveillance testing strategies have been implemented in some places, and those test outcomes have dictated whether to reopen, to simultaneously monitor community spread, and/or to isolate discovered cases. However, the question remains as to wh

SUBMITTER: Dalton M 

PROVIDER: S-EPMC9645599 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature