Nonlinear science against the COVID-19 pandemic

This special issue showcases recent uses of mathematical and nonlinear science methods in the study of different problems arising in the context of the COVID-19 pandemic. The sixteen original research papers included in this collection span a wide spectrum of studies including classical epidemiological models, new models accounting for COVID-19 specificities, non-pharmaceutical control measures, network models and other problems related to the pandemic. (C) 2021 Elsevier B.V. All rights reserved.

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This special issue presents recent applications of mathematical and nonlinear science methods in studying various issues related to the COVID-19 pandemic. The sixteen original research papers cover a wide range of studies including classical epidemiological models, new models specific to COVID-19, non-pharmaceutical control measures, network models, and other pandemic-related problems.