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.

中文翻译：

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针对 COVID-19 大流行的非线性科学

本期特刊展示了数学和非线性科学方法最近在研究 COVID-19 大流行背景下出现的不同问题时的应用。该合集中的 16 篇原创研究论文涵盖了广泛的研究领域，包括经典流行病学模型、考虑 COVID-19 特异性的新模型、非药物控制措施、网络模型和与大流行相关的其他问题。