# Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19

arXiv: https://arxiv.org/abs/2306.17191 · HTML: https://mlsanity.com/paper/2306.17191/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jun 2023.

## Built on by (most cited first, 1 of 1)

- [Dynamic Welfare-Maximizing Pooled Testing](https://mlsanity.com/paper/2601.22419/) (2026)

## Abstract (arXiv)

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.
