| Literature DB >> 35309741 |
Nicola Bellomo1, Richard Bingham2, Mark A J Chaplain3, Giovanni Dosi4, Guido Forni5, Damian A Knopoff6, John Lowengrub7, Reidun Twarock2, Maria Enrica Virgillito4.
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.Entities:
Keywords: 92C60; 92D30; COVID-19; SARS-CoV-2; complexity; immune competition; intracellular infection dynamics; living systems; multiscale problems; networks; spatial patterns; viral quasispecies; virus structure modelling
Year: 2020 PMID: 35309741 PMCID: PMC8932953 DOI: 10.1142/s0218202520500323
Source DB: PubMed Journal: Math Models Methods Appl Sci ISSN: 0218-2025 Impact factor: 3.817