Nonlinear science against the COVID-19 pandemic

[摘要] 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.

[发布日期] 2021-10-01

[关键词] Mathematical epidemiology;Dynamical systems in epidemics;SARS-COV-19 mathematical studies