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We shall apply a generalized SEIR model to study the outbreak of COVID-19 inBrazil. In particular, we would like to explain the projections of the increasein the level of infection over a long period of time, overlapping large localoutbreaks in the most populous states in the country. A time-dependent dynamicSEIR model inspired in a model previously used during the outbreak in China wasused to analyses the time trajectories of infected, recovered, and deaths. Themodel has parameters that vary with time and are fitted considering a nonlinearleast-squares method. The simulations starting from April 8, 2020, concludedthat the time for a peak in Brazil will be in July 21, 2020 with totalcumulative infected cases around 982K people; in addition, an estimated totaldeath case will reach to 192K in the end. Besides that, Brazil will reach apeak in terms of daily new infected cases and death cases around the middle ofJuly with 50K cases of infected and almost 6.0K daily deaths.

Epidemic analysis of COVID-19 in Brazil by a generalized SEIR model