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

06/27/2023
by   Luis Benavides-Vázquez, et al.
0

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 Tecnológico 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/08/2021

Allocation of COVID-19 Testing Budget on a Commute Network of Counties

The screening testing is an effective tool to control the early spread o...
research
09/21/2021

Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access

At the time of this article, COVID-19 has been transmitted to more than ...
research
07/25/2020

A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19

The outbreak of the novel coronavirus (COVID-19) is unfolding as a major...
research
01/04/2021

Stochastic Optimization for Vaccine and Testing Kit Allocation for the COVID-19 Pandemic

The pandemic caused by the SARS-CoV-2 virus has exposed many flaws in th...
research
11/02/2020

Assessing racial inequality in COVID-19 testing with Bayesian threshold tests

There are racial disparities in the COVID-19 test positivity rate, sugge...
research
05/17/2018

Resource allocation under uncertainty: an algebraic and qualitative treatment

We use an algebraic viewpoint, namely a matrix framework to deal with th...
research
08/09/2022

Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection

In this paper, we present an efficient statistical method (denoted as "A...

Please sign up or login with your details

Forgot password? Click here to reset