  This paper deals with the mathematical modeling and numerical simulations
related to the coronavirus dynamics. A description is developed based on the
framework of susceptible-exposed-infectious-recovered model. Initially, a model
verification is carried out calibrating system parameters with data from China,
Italy, Iran and Brazil. Afterward, numerical simulations are performed to
analyzed different scenarios of COVID-19 in Brazil. Results show the importance
of governmental and individual actions to control the number and the period of
the critical situations related to the pandemic.
