Abstract
In this work, we study the transmission of the new coronavirus, SARS-CoV-2, which causes COVID-19. Our main aim is to analyze the disease prevalence when vaccination and social distancing strategies are used. Simulations are implemented using an agent-based model (ABM) adapted from a Susceptible-Exposed-Infectious-Recovered (SEIR) type compartmental model. Several scenarios are simulated using the most common vaccines available in Brazil. On each scenario, different fractions of the population are affected by vaccination and social distancing measures. Results show the importance to start public health interventions to reduce the size of the epidemic. Besides, simulations show that vaccination only is not capable to control the disease spread.
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