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An optimal control study for a two-strain SEIR epidemic model with saturated incidence rates and treatment
The exposed and the infected compartments are each divided into two sub-classes representing the first and the second strain.
Visualization and machine learning for forecasting of COVID-19 in Senegal
In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data.
Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning
Two machine learning tools are used to forecast the evolution of the pandemic.
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