Mathematical control models for the COVID-19 epidemic

JUSTINA GIANATTI

Conferencia; Congreso Matemático de las Américas 2021; 2021

In this work we study control models for the COVID-19 epidemic. We start by analyzing a model that takes into account the infection age of the population. We introduced a confinement variable as control and by applying optimal control techniques we are able to evaluate some of the best confinement policies for this initial model. Afterwards, we introduce a different compartmental model, which also includes undetected cases, and based on the data available so far, we calibrate the parameters involved. We end up adding a vaccination policy as a control variable to our model and show some numerical results referring to the evolution of the epidemic in Argentina.