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A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world

Author

Listed:
  • Nicola Bellomo
  • Richard Bingham
  • Mark A.J. Chaplain
  • Giovanni Dosi
  • Guido Forni
  • Damian A. Knopoff
  • John Lowengrub
  • Reidun Twarock
  • Maria Enrica Virgillito

Abstract

This paper is devoted to the multidisciplinary modelling of a pandemic initiated by an aggressive virus, specifically the so-called SARS-CoV-2 Severe Acute Respiratory Syndrome, corona virus n.2. The study is developed within a multiscale framework accounting for the interaction of different spatial scales, from the small scale of the virus itself and cells, to the large scale of individuals and further up to the collective behaviour of populations. An interdisciplinary vision is developed thanks to the contributions of epidemiologists, immunologists and economists as well as those of mathematical modellers. The first part of the contents is devoted to understanding the complex features of the system and to the design of a modelling rationale. The modelling approach is treated in the second part of the paper by showing both how the virus propagates into infected individuals, successfully and not successfully recovered, and also the spatial patterns, which are subsequently studied by kinetic and lattice models. The third part reports the contribution of research in the fields of virology, epidemiology, immune competition, and economy focused also on social behaviours. Finally, a critical analysis is proposed looking ahead to research perspectives.

Suggested Citation

  • Nicola Bellomo & Richard Bingham & Mark A.J. Chaplain & Giovanni Dosi & Guido Forni & Damian A. Knopoff & John Lowengrub & Reidun Twarock & Maria Enrica Virgillito, 2020. "A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world," LEM Papers Series 2020/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Handle: RePEc:ssa:lemwps:2020/16
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    References listed on IDEAS

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    Cited by:

    1. Fabio Vanni & David Lambert & Luigi Palatella, 2020. "Epidemic response to physical distancing policies and their impact on the outbreak risk," Papers 2007.14620, arXiv.org, revised Jul 2020.
    2. Fang, Fanshu & Ma, Jing & Li, Yanli, 2023. "The coevolution of the spread of a disease and competing opinions in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    3. Fontanari, José F., 2021. "A stochastic model for the influence of social distancing on loneliness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    4. Giovanni Dosi, 2021. "Some policy lessons from medical/therapeutic responses to the COVID-19 Crisis: A rich research system for knowledge generation and dysfunctional institutions for its exploitation," LEM Papers Series 2021/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. G. Dosi & L. Fanti & M. E. Virgillito, 2020. "Unequal societies in usual times, unjust societies in pandemic ones," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 371-389, September.
    6. Giovanni Dosi, 2021. "Policy Lessons From Medical Responses to the COVID-19 Crisis," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(6), pages 337-340, November.
    7. Maira Aguiar & Giovanni Dosi & Damian A. Knopoff & Maria Enrica Virgillito, 2021. "A multiscale network-based model of contagion dynamics: heterogeneity, spatial distancing and vaccination," LEM Papers Series 2021/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Peter Flaschel & Giorgos Galanis & Daniele Tavani & Roberto Veneziani, 2021. "Pandemics and Aggregate Demand: a Framework for Policy Analysis," Working Papers PKWP2025, Post Keynesian Economics Society (PKES).

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