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 epidemiologi...

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Autor principal: Pérez-García, Víctor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086261/
https://www.ncbi.nlm.nih.gov/pubmed/33967364
http://dx.doi.org/10.1016/j.physd.2021.132946
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author Pérez-García, Víctor M.
author_facet Pérez-García, Víctor M.
author_sort Pérez-García, Víctor M.
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description 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.
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spelling pubmed-80862612021-05-03 Nonlinear science against the COVID-19 pandemic Pérez-García, Víctor M. Physica D Article 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. Elsevier B.V. 2021-10 2021-04-30 /pmc/articles/PMC8086261/ /pubmed/33967364 http://dx.doi.org/10.1016/j.physd.2021.132946 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Pérez-García, Víctor M.
Nonlinear science against the COVID-19 pandemic
title Nonlinear science against the COVID-19 pandemic
title_full Nonlinear science against the COVID-19 pandemic
title_fullStr Nonlinear science against the COVID-19 pandemic
title_full_unstemmed Nonlinear science against the COVID-19 pandemic
title_short Nonlinear science against the COVID-19 pandemic
title_sort nonlinear science against the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086261/
https://www.ncbi.nlm.nih.gov/pubmed/33967364
http://dx.doi.org/10.1016/j.physd.2021.132946
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