Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19
Computer Science and Game Theory
2023-07-03 v1 Computers and Society
Optimization and Control
Physics and Society
Abstract
This work sets out a testing and containment framework developed for reopening universities in Mexico following the lockdown due to COVID-19. We treat diagnostic testing as a resource allocation problem and develop a testing allocation mechanism and practical web application to assist educational institutions in making the most of limited testing resources. In addition to the technical results and tools, we also provide a reflection on our current experience of running a pilot of our framework within the Instituto Tecnol\'ogico y de Estudios Superiores de Monterrey (ITESM), a leading private university in Mexico, as well as on our broader experience bridging research with academic policy in the Mexican context.
Keywords
Cite
@article{arxiv.2306.17191,
title = {Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19},
author = {Luis Benavides-Vázquez and Héctor Alonso Guzmán-Gutiérrez and Jakob Jonnerby and Philip Lazos and Edwin Lock and Francisco Marmolejo-Cossío and Ninad Rajgopal and José Roberto Tello-Ayala},
journal= {arXiv preprint arXiv:2306.17191},
year = {2023}
}