Predicting Pandemics in a Globally Connected World, Volume 1 (eBook, PDF)
Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation
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Predicting Pandemics in a Globally Connected World, Volume 1 (eBook, PDF)
Toward a Multiscale, Multidisciplinary Framework through Modeling and Simulation
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This contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.
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- Produktdetails
- Verlag: Springer International Publishing
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9783030965624
- Artikelnr.: 65886578
- Verlag: Springer International Publishing
- Erscheinungstermin: 22. September 2022
- Englisch
- ISBN-13: 9783030965624
- Artikelnr.: 65886578
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.