A mathematical model is proposed to assess the effects of a vaccine on the
time evolution of a coronavirus outbreak. The model has the basic structure of SIRI
compartments (susceptible-infectious-recovered-infectious) and is implemented by tak-
ing into account of the behavioral changes of individuals in response to the available
information on the status of the disease in the community. We found that the cumu-
lative incidence may be significantly reduced when the information coverage is high
enough and/or the information delay is short, especially when the reinfection rate is
high enough to sustain the presence of the disease in the community. This analysis is in-
spired by the ongoing outbreak of a respiratory illness caused by the novel coronavirus
COVID–19.