  The current COVID-19 pandemic is affecting different countries in different
ways. The assortment of reporting techniques alongside other issues, such as
underreporting and budgetary constraints, makes predicting the spread and
lethality of the virus a challenging task. This work attempts to gain a better
understanding of how COVID-19 will affect one of the least studied countries,
namely Brazil. Currently, several Brazilian states are in a state of lock-down.
However, there is political pressure for this type of measures to be lifted.
This work considers the impact that such a termination would have on how the
virus evolves locally. This was done by extending the SEIR model with an on /
off strategy. Given the simplicity of SEIR we also attempted to gain more
insight by developing a neural regressor. We chose to employ features that
current clinical studies have pinpointed has having a connection to the
lethality of COVID-19. We discuss how this data can be processed in order to
obtain a robust assessment.
