Predicting Pandemics in a Globally Connected World: Toward a Multiscale, Multidisciplinary Framework Through Modeling and Simulation

Name: Predicting Pandemics in a Globally Connected World: Toward a Multiscale, Multidisciplinary Framework Through Modeling and Simulation
Brand: Birkhauser
SKU: 9783031567964
Price: 10187.0 INR
Availability: InStock

by Maira Aguiar , Nicola Bellomo , Mark Chaplain

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ISBN13: 9783031567964
Binding: Paperback
Subject: N/A
Publisher: Birkhauser
Publisher Imprint: Birkhauser
Publication Date: January 1, 2024
Pages: 237
Original Price: EUR 139.99
Language: English
Edition: N/A
Item Weight: 346 grams
BISAC Subject(s): Applied

About The Author

Nicola Bellomo is distinguished professor at the University of Granada and professor emeritus at the Polytechnic University of Torino. He started his career in 1980 when he was called to cover the chair of mathematical physics and applied mathematics due to his scientific achievements 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. In 2009, he delivered the prestigious Shank Lecture at the Vanderbilt University on the modeling of immune competition. He was awarded the "Third Level of Honor" for scientific merits by the President of the Italian Republic.
Mark Chaplain holds the Gregory Chair of Applied Mathematics at the University of St Andrews. For the past 30 years, modelling all aspects of cancer growth has remained his main research interest, and he has developed a variety of novel mathematical models for all the main phases of solid tumor growth (avascular growth, angiogenesis, vascular growth) and invasion and metastasis. Much of his current work is focused on what may be described as a Systems Oncology approach to modelling cancer growth through the development of quantitative and predictive mathematical models. He has also developed models of chemotherapy treatment of cancer, focusing on cell-cycle dependent drugs, and also radiotherapy treatment. In 2008, he was awarded a 5-year European Research Council Advanced Investigator award. He was awarded a Whitehead Prize by The London Mathematical Society, July 2000 (awarded annually to the best UK applied mathematician under the age of 40); elected a Fellow of The Royal Society of Edinburgh, March 2003; twice recipient of the Lee Segel Prize for the best paper appearing in the Bulletin of Mathematical Biology (2015 and 2023). He is currently Co-Chief Editor of the Journal of Theoretical Biology, and Subject Editor, Mathematics, Royal Society Open Science (RSOS).

Maíra Aguiar trained as a theoretical biologist, obtaining a double European PhD degree in 2012 in Life Sciences, from Vrije Universiteit Amsterdam, The Netherlands, and Population Biology, from the University of Lisbon, Portugal. With a multidisciplinary research profile, she is trained in dynamical systems theory, stochastic processes, nonlinear dynamics, bifurcation analysis and biostatistics. Her scientific interests addresses significant mathematical and fundamental questions in biology and medicine, with special focus on public health epidemiology modeling. Dr. Aguiar is an Ikerbasque and Ramón y Cajal Researcher, the group leader of the Mathematical and Theoretical Biology Group at the Basque Center for Applied Mathematics (BCAM) in the Basque Country, Spain.

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