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Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics - Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 (1st ed. 2023)
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Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics - Selected Works from the BIOMAT Consortium Lectures, Rio de Janeiro, Brazil, 2022 (1st ed. 2023)
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This volume gathers together selected peer-reviewed works presented
at the BIOMAT 2022 International Symposium, which was virtually
held on November 7-11, 2022, with an organization staff based in
Rio de Janeiro, Brazil. Topics touched on in this volume include
infection spread in a population described by an agent-based
approach; the study of gene essentiality via network-based
computational modeling; stochastic models of neuronal dynamics; and
the modeling of a statistical distribution of amino acids in
protein domain families. The reader will also find texts in
epidemic models with dynamic social distancing; with no vertical
transmission; and with general incidence rates. Aspects of COVID-19
dynamics: the use of an SEIR model to analyze its spread in Brazil;
the age-dependent manner of modeling its spread pattern; the impact
of media awareness programs; and a web-based computational tool for
Non-invasive hemodynamics evaluation of coronary stenosis are also
covered. Held every year since 2001, The BIOMAT International
Symposium gathers together, in a single conference, researchers
from Mathematics, Physics, Biology, and affine fields to promote
the interdisciplinary exchange of results, ideas and techniques,
promoting truly international cooperation for problem discussion.
BIOMAT volumes published from 2017 to 2021 are also available by
Springer.
General
Imprint: |
Springer International Publishing AG
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Country of origin: |
Switzerland |
Release date: |
August 2023 |
First published: |
2023 |
Editors: |
Rubem P. Mondaini
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Dimensions: |
235 x 155mm (L x W) |
Pages: |
394 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-3-03-133049-0 |
Categories: |
Books
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LSN: |
3-03-133049-8 |
Barcode: |
9783031330490 |
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