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.
- Type
- Conference paper
- Publication
- In Proceedings of the 1st ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
- DOI
- 10.1145/3465416.3483300
Jose Roberto Tello Ayala
PhD Candidate in Applied Mathematics
I develop interpretable machine-learning methods for clinical decision-making, with applications in cardiovascular imaging and precision psychiatry.