AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Networks and Heterogeneous Media Article
PDF (667.3 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Multiscale models of Covid-19 with mutations and variants

University of Granada, Departamento de Matemática Aplicada, 18071-Granada, Spain, Politecnico, Torino, Italy
University of Perugia, Italy
Faculty of Sciences Semlalia-UCA, LMDP, Morocco and UMMISCO (IRD-SU, France)
Show Author Information

Abstract

This paper focuses on the multiscale modeling of the COVID-19 pandemic and presents further developments of the model [7] with the aim of showing how relaxations of the confinement rules can generate sequential waves. Subsequently, the dynamics of mutations into new variants can be modeled. Simulations are developed also to support the decision making of crisis managers.

Keywords

COVID-19living systemsimmune competitionmultiscale modelingmutationsselectionvariantskinetic theoryactive particlesstochastic differential gamesevolutionlearningsocial systemseconomy
CLC number: Primary: 92C60, 92D30

References

【1】
【1】
 
 
Crossref Google Scholar
Networks and Heterogeneous Media
Volume 17 Issue 3,
June 2022
Pages 293-310
DOI: 10.3934/nhm.2022008

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Bellomo N, Burini D, Outada N. Multiscale models of Covid-19 with mutations and variants. Networks and Heterogeneous Media, 2022, 17(3): 293-310. https://doi.org/10.3934/nhm.2022008

70

Views

7

Downloads

65

Crossref

58

Web of Science

61

Scopus
Received: 01 June 2021
Revised: 01 August 2021
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)