  In this paper, we deal with the study of the impact of nationwide measures
COVID-19 anti-pandemic. We drive two processes to analyze COVID-19 data
considering measures. We associate level of nationwide measure with value of
parameters related to the contact rate of the model. Then a parametric solve,
with respect to those parameters of measures, shows different possibilities of
the evolution of the pandemic. Two machine learning tools are used to forecast
the evolution of the pandemic. Finally, we show comparison between
deterministic and two machine learning tools.
