  Countries are recording health information on the global spread of COVID-19
using different methods, sometimes changing the rules after a few days. They
are all publishing the number of new individuals infected, cured and dead,
along with some supplementary data. These figures are often recorded in a
non-uniform manner and do not match the standard definitions of these
variables. However, in this paper we show that the Kaplan-Meier curves
calculated with them could provide useful information about the dynamics of the
disease in different countries. Our aim is to present a robust and simple model
to show certain characteristics of the evolution of the dynamic process,
showing that the differences of evolution among the countries is reflected in
the corresponding Kaplan-Meier-type curves. We compare the curves obtained for
the most affected countries so far, proposing possible interpretations of the
properties that distinguish them.
