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

Abstract

We study how universities in Mexico can combine diagnostic testing and containment strategies to reduce COVID-19 transmission under resource constraints, highlighting when testing is most effective and how targeted interventions improve campus outcomes.

Publication
In Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
J. Roberto Tello Ayala
J. Roberto Tello Ayala
Fourth-year PhD Candidate in Applied Mathematics

I develop interpretable model architectures for healthcare and other high-stakes applications.