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

• URL: http://arxiv.org/abs/2005.08395v2
• Date: Sun, 9 Aug 2020 21:57:38 GMT
• Title: Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning
• Authors: Mouhamadou A.M.T. Balde, Coura Balde, Babacar M. Ndiaye
• Abstract summary: We study the impact of nationwide measures COVID-19 anti-pandemic. We use two machine learning tools to forecast the evolution of the pandemic.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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