  We adapt the hybrid mechanistic-statistical approach of Ref. [1] to estimate
the total number of undocumented Covid-19 infections in Cuba. This scheme is
based on the maximum likelihood estimation of a SIR-like model parameters for
the infected population, assuming that the detection process matches a
Bernoulli trial. Our estimations show that (a) 60% of the infections were
undocumented, (b) the real epidemics behind the data peaked ten days before the
reports suggested, and (c) the reproduction number swiftly vanishes after 80
epidemic days.
