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Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning

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 نشر من قبل Babacar Mbaye Ndiaye
 تاريخ النشر 2020
  مجال البحث علم الأحياء فيزياء
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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.



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