Editors:
- Includes papers on mathematical modeling of diseases, epidemics, and infections like hepatitis B, HIV, Chikungunya and Ebola
- Promotes a truly interdisciplinary exchange of results and techniques in mathematical biology
- Brings together peer-reviewed papers by authors from 17 countries
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Table of contents (25 chapters)
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Front Matter
About this book
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, ideasand techniques, promoting truly international cooperation for problem discussion. The 2018 edition of BIOMAT International Symposium received contributions by authors from seventeen countries: Algeria, Brazil, Cameroon, Canada, Chad, Colombia, France, Germany, Hungary, Italy, Mali, Morocco, Nigeria, Poland, Portugal, Russia, and Senegal. Selected papers presented at the 2017 edition of this Symposium were also published by Springer, in the volume “Trends in Biomathematics: Modeling, Optimization and Computational Problems” (978-3-319-91091-8).
Editors and Affiliations
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Federal University of Rio de Janeiro, President, BIOMAT Consortium – International Institute for Interdisciplinary Sciences, Rio de Janeiro, Brazil
Rubem P. Mondaini
About the editor
Bibliographic Information
Book Title: Trends in Biomathematics: Mathematical Modeling for Health, Harvesting, and Population Dynamics
Book Subtitle: Selected works presented at the BIOMAT Consortium Lectures, Morocco 2018
Editors: Rubem P. Mondaini
DOI: https://doi.org/10.1007/978-3-030-23433-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-23432-4Published: 17 October 2019
eBook ISBN: 978-3-030-23433-1Published: 03 October 2019
Edition Number: 1
Number of Pages: XI, 437
Number of Illustrations: 26 b/w illustrations, 77 illustrations in colour
Topics: Genetics and Population Dynamics, Physiological, Cellular and Medical Topics, Systems Theory, Control, Partial Differential Equations, Markov model