Nonlinear science against the COVID-19 pandemic.

Abstract:

: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.

journal_name

Physica D

authors

Pérez-García VM

doi

10.1016/j.physd.2021.132946

keywords:

["Dynamical systems in epidemics","Mathematical epidemiology","SARS-COV-19 mathematical studies"]

subject

Has Abstract

pub_date

2021-10-01 00:00:00

pages

132946

eissn

0167-2789

pii

S0167-2789(21)00104-4

journal_volume

424

pub_type

杂志文章

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