A multiscale model of virus pandemic: heterogeneous interactive entities in a globally connected world

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)

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 focussed also on social behaviours. Finally, a critical analysis is proposed looking ahead to research perspectives.
Original languageEnglish
Pages (from-to)1591-1651
Number of pages61
JournalMathematical Models and Methods in Applied Sciences
Volume30
Issue number08
DOIs
Publication statusPublished - 19 Aug 2020

Keywords

  • COVID-19
  • Living systems
  • Immune competition
  • Complexity
  • Multiscale problems
  • Spatial patterns
  • Networks
  • Intracellular infection dynamics
  • Viral quasispecies
  • Virus structure modelling
  • SARS-CoV-2

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