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Modeling virus pandemics in a globally connected world a challenge towards a mathematics for living systems

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Bellomo_2021_Modeling_virus_pandemics_MMMAS_AAM.pdf (168.9Kb)
Date
30/09/2021
Author
Bellomo, N.
Brezzi, F.
Chaplain, M. A. J.
Keywords
Complexity
Active particles
Multiscale vision
Virus contagion and mutations
QA Mathematics
QR355 Virology
RA0421 Public health. Hygiene. Preventive Medicine
I-PW
SDG 3 - Good Health and Well-being
AC
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Abstract
This editorial paper presents the papers published in a special issue devoted to the modeling and simulation of mutating virus pandemics in a globally connected world. The presentation is proposed in three parts. First, motivations and objectives are presented according to the idea that mathematical models should go beyond deterministic population dynamics by considering the multiscale, heterogeneous features of the complex system under consideration. Subsequently, the contents of the papers in this issue are presented referring to the aforementioned complexity features. Finally, a critical analysis of the overall contents of the issue is proposed, with the aim of providing a forward look to research perspectives.
Citation
Bellomo , N , Brezzi , F & Chaplain , M A J 2021 , ' Modeling virus pandemics in a globally connected world a challenge towards a mathematics for living systems ' , Mathematical Models and Methods in Applied Sciences , vol. Online Ready , pp. 1-7 . https://doi.org/10.1142/s0218202521020024
Publication
Mathematical Models and Methods in Applied Sciences
Status
Peer reviewed
DOI
https://doi.org/10.1142/s0218202521020024
ISSN
0218-2025
Type
Journal item
Rights
Copyright © 2021 World Scientific Publishing Co Pte Ltd. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1142/S0218202521020024.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/26105

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