  The recent spreading of coronavirus made many countries impose restrictions
in order to control its dangerous effect on the citizens. We developed a
theoretical dynamical model based on compartmental SIR system with additional
adjustment taken from Flow network and Markov chain frameworks to illustrate
developments and trends based on publicly available data. Based on this Model,
code in R was written and fed by stamped publicly available data from
authorized governmental websites in Spain and in the Nederlands, to compare
trends. Our results show that the 'peak' of infection is already behind us in
both countries, but also demonstrate that there is a danger of rebound of a
spread. It is obvious that measures imposed are giving the results, but we
should be precarious of near future practices and developments since the
majority of population will still be without immunity.
