A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world
Year: 2020
Type: article
Abstract: This paper is devoted to the multidisciplinary modelling of a pandemic initiated by an aggressive virus, specifically the so-called SARS–CoV–[Formula: see text] Severe Acute Respiratory Syndrome, corona virus n.[Formula: see text]. 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.
Institutions: Universidad de Granada, Politecnico di Torino, Istituto di Matematica Applicata e Tecnologie Informatiche, University of York, University of St Andrews, Scuola Superiore Sant'Anna, Accademia Nazionale dei Lincei, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, University of California, Irvine
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: National Science Foundation, Simons Foundation, Wellcome Trust, Royal Society, European Commission, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de Granada, National Institutes of Health, University of California, Irvine, Engineering and Physical Sciences Research Council, National Cancer Institute, Chao Family Comprehensive Cancer Center
Awards: Mathematical Virology: A new mathematical approach to viral evolution grounded in experiment, G1315042094, G1724388188, Geometry as a key to the virosphere: Unmasking the fundamental roles of geometry in virus structure, evolution and pathology, G278443292, G283218925, G2947711961, G2975900969, G346670794, G434337789, New perspectives for anti-viral therapy: The regulatory roles of genomic RNA in virus assembly, infection and evolution., G571115303, MODULUS: Data-Driven Mechanistic Modeling of Hierarchical Tissues, Collaborative Research: A New Multiscale Methodology and Application to Tumor Growth modeling, G6791967163, NSF-Simons Center for Multiscale Cell Fate Research, Growth Welfare Innovation Productivity, Complexity, Cooperation and Community in Cancer, Cancer Center Support Grant
OpenAlex ID: W3033095281