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Published on: May 8, 2021
Dynamics of the COVID-19 pandemic: nonlinear approaches on the modelling, prediction and control
1Department of Mathematical Sciences, Politecnico di Torino, Turin, Italy.
Abstract:
This special issue contains 35 regular articles on the analysis and dynamics of COVID-19 with several applications. Some analyses are on the construction of mathematical models representing the dynamics of COVID-19, and some are on the estimations and predictions of the disease, a few with possible applications. The various contributions report important, timely, and promising results, such as the effects of several waves, deep learning-based COVID-19 classifications, and multivariate time series with applications.
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