Predicting Pandemics in a Globally Connected World, Volume 1

Predicting Pandemics in a Globally Connected World, Volume 1

Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation

von

Chaplain, Mark A. J.Hrsg.Bellomo, NicolaHrsg.

BuchPaperback

Verkaufsrang7214inMathematik

CHF136.90

BuchabCHF136.90

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Produktinformationen

This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19.

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Details

ISBN/GTIN978-3-030-96564-8

ProduktartBuch

EinbandPaperback

VerlagSpringer

Erscheinungsdatum24.09.2023

Auflage1st ed. 2022

ReiheModeling and Simulation in Science, Engineering and Technology

Seiten316 Seiten

SpracheEnglisch

MasseBreite 155 mm, Höhe 235 mm, Dicke 18 mm

Gewicht482 g

WarengruppeNaturwissenschaft

KategorieMathematik

Weitere Details

Reihe

Mathematical Modeling and Control in Life and Environmental Sciences

Predicting Pandemics in a Globally Connected World, Volume 2

Mathematical Modelling of Continuum Physics

Mathematical Modeling and Control in Life and Environmental Sciences

Predicting Pandemics in a Globally Connected World, Volume 2

Mathematical Modelling of Continuum Physics

Predicting Pandemics in a Globally Connected World, Volume 1

Frontiers in Computational Fluid-Structure Interaction and Flow Simulation

Predicting Pandemics in a Globally Connected World, Volume 1

Stochastic Approaches to Electron Transport in Micro- and Nanostructures

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Über die Autorin/den Autor

Chaplain, Mark A. J.Hrsg.Bellomo, NicolaHrsg.

Nicola Bellomo is Distinguished Professor at the University of Granada and professor emeritus at the Polytechnic University of Torino. He started his research activity with studies on the mathematical theory of the Boltzmann equation and of stochastic differential equations. Subsequently, he moved his scientific interests to the study of living systems becoming one of the pioneers of the development of active particles methods to the modeling of large systems of self-propelled interacting entities, specifically multicellular systems, crowds and swarms. He is editor in Chief of Journals: Mathematical Models and Methods in Applied Sciences (with Franco Brezzi).Mark A. J. Chaplain holds The Gregory Chair of Applied Mathematics at the University of St Andrews. He started his research activities during his PhD developing various reaction-diffusion-type partial differential equation models for the growth of avascular solid tumours. Since then modelling cancer growth and treatment has remained his main research interest. Much of his more recent research focus has been on developing novel multiscale models of cancer growth, by incorporating effects at different spatial and temporal scales into a single model (e.g. intracellular, cellular and tissues scales). He is one of the co-Chief Editors of the Journal of Theoretical Biology (with Denise Kirschner and Akira Sasaki) and is the Mathematics Section Editor for the Royal Society Open Science journal.