publication . Article . Research . Preprint . 2020

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

Nicola Bellomo; Richard J. Bingham; Mark A. J. Chaplain; Giovanni Dosi; Guido Forni; Damián A. Knopoff; John Lowengrub; Reidun Twarock; Maria Enrica Virgillito;
Open Access English
  • Published: 19 Aug 2020
Secretaria de Ciencia y Tecnología (SECYT) 33620180100326CB
free text keywords: complexity; COVID-19; immune competition; intracellular infection dynamics; living systems; multiscale problems; networks; SARS-CoV-2; spatial patterns; viral quasispecies; virus structure modelling, Applied Mathematics, Modelling and Simulation, COVID-19, LIVING SYSTEMS, IMMUNE COMPETITION, COMPLEXITY, MULTISCALE PROBLEMS, SPATIAL PATTERNS, NETWORKS, INTRACELLULAR INFECTION DYNAMICS, VIRAL QUASISPECIES, VIRUS STRUCTURE MODELLING, SARS-COV-2, Matemática Aplicada, Matemáticas, CIENCIAS NATURALES Y EXACTAS, Epidemiología, Ciencias de la Salud, CIENCIAS MÉDICAS Y DE LA SALUD, Inmunología, Medicina Básica, QA Mathematics, QH301 Biology, QR355 Virology, T-NDAS, QA, QH301, QR355, C60, D30, Quantitative Biology - Populations and Evolution, 92C60, 92D30, Pandemic, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Virus, Viral quasispecies, Virology, Biology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), ddc:330
Funded by
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5P30CA062203-08
Growth Welfare Innovation Productivity
  • Funder: European Commission (EC)
  • Project Code: 822781
  • Funding stream: H2020 | RIA
NSF| NSF-Simons Center for Multiscale Cell Fate Research
  • Funder: National Science Foundation (NSF)
  • Project Code: 1763272
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Mathematical Sciences
UKRI| Geometry as a key to the virosphere: Unmasking the fundamental roles of geometry in virus structure, evolution and pathology
  • Funder: UK Research and Innovation (UKRI)
  • Project Code: EP/R023204/1
  • Funding stream: EPSRC
71 references, page 1 of 5

[2] G. Albi, N. Bellomo, L. Fermo, S.-Y. Ha, J. Kim, L. Pareschi, D. Poyato, and J. Soler, Traffic, crowds, and swarms. From kinetic theory and multiscale methods to applications and research perspectives, Mathematical Models and Methods in Applied Sciences, 29(10), 1901-2005, (2019).

[3] K. G. Andersen, A. Rambaut, W. Ian Lipkin, E. C. Holmes, and R. F. Garry, The proximal origin of SARS-CoV-2, Nature Medicine, 26, no. 4, 450-452, (2020).

[4] R. A. Anderson and R. M. May, Population biology of infectious diseases: Part I, Nature, 280, 361-367, (1979).

[5] R. A. Anderson and R. M. May, Population biology of infectious diseases: Part II, Nature, 280, 455-461, (1979).

[6] R. M. Anderson, The Population Dynamics of Infectious Diseases: Theory and Application, London: Chapman and Hall, (1982).

[7] V. V. Aristov, Biological systems as nonequilibrium structures described by kinetic methods, Results in Physics, 13, paper n.102232, (2019).

[8] B. Avishai, The pandemic isn't a black swan but a portent of a more fragile global system, The New Yorker, April 21, (2020).

[9] B. Aylaj, N. Bellomo, L. Gibelli, and A. Reali, On a unified multiscale vision of behavioral crowds, Mathematical Models and Methods in Applied Sciences, 30(1), 1-22, (2020). [OpenAIRE]

[10] N. T. J. Bailey, Mathematical Tools for Understanding Infectious Disease Dynamics, London: Griffin, (1975).

[11] P. Baldwin and B. W. Di Mauro, Economics in the Time of COVID-19, Book, (2020).

[12] P. Ball, Why Society is a Complex Matter, Springer-Verlag, Heidelberg, (2012).

[13] Y. M. Bar-On, A. Flamholz, R. Phillips, and R. Milo, SARS-CoV-2 (COVID19) by the numbers, eLife, 9 (2020), 1-15.

[14] R. J. Barro, J. F. Ursua, and J. Weng, The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus's Potential Effects on Mortality and Economic Activity, NBER WP, 26866, (2020). [OpenAIRE]

[15] N. Bellomo and A. Bellouquid, On multiscale models of pedestrian crowds from mesoscopic to macroscopic, Communications in Mathematical Sciences, 13(7) 1649-1664, (2015). [OpenAIRE]

[16] N. Bellomo, A. Bellouquid, and N. Chouhad, From a multiscale derivation of nonlinear cross-diffusion models to Keller-Segel models in a Navier-Stokes fluid, Mathematical Models and Methods in Applied Sciences, 26, 2041-2069, (2016). [OpenAIRE]

71 references, page 1 of 5
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