  Since the first outbreak of the COVID-19 epidemic at the end of 2019, data
has been made available on the number of infections, deaths and recoveries for
all countries of the World, and that data can be used for statistical analysis.
The primary interest of this paper is how well the logistic equation can
predict the outcome of COVID-19 epidemic in any regions of the World assuming
that the methodology of the testing process, namely the data collection method
and social behavior is not changing over the course of time. Besides the social
relevance, this study has two scientific purposes: we investigate if a simple
saturation model can describe the trend of the COVID-19 epidemic and if so, we
would like to determine, from which point during the epidemic the fitting
parameters provide reliable predictions. We also give estimations for the
outcome of this epidemic in several countries based on the logistic model and
the data available on 27 March, 2020. Based on the saturated cases in China, we
have managed to find some criteria to judge the reliability of the predictions.
