Nonlinear science against the COVID-19 pandemic
V.M. Pérez-García
Physica D 424 (2021) 132946
MOLAB authors
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.