Mathematical modeling for epidemiology and ecology / Glenn Ledder.
Ledder, Glenn, author.
2023
QH323.5 .L43 2023
Available Online

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Title Mathematical modeling for epidemiology and ecology / Glenn Ledder.
Author Ledder, Glenn, author.
Edition Second edition.
ISBN 9783031094545 (electronic bk.)
3031094549 (electronic bk.)
9783031094538
3031094530
DOI https://doi.org/10.1007/978-3-031-09454-5
Published Cham : Springer, [2023]
Language English
Description 1 online resource (1 volume) : illustrations (black and white, and color).
Item Number 10.1007/978-3-031-09454-5 doi
Call Number QH323.5 .L43 2023
Dewey Decimal Classification 570.15118
Summary Mathematical Modeling for Epidemiology and Ecology provides readers with the mathematical tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas and the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus. An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology. The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic. The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Springer undergraduate texts in mathematics and technology.
Available in Other Form Mathematical modeling for epidemiology and ecology.
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Record Appears in Online Resources > Ebooks
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Part I Mathematical Modeling
1 Modeling in Biology
2 Empirical Modeling
3 Mechanistic Modeling. Part II Dynamical Systems
4 Dynamics of Single Populations
5 Discrete Linear Systems
6 Nonlinear Dynamical Systems
Appendix A. Using Matlab and Octave
Appendix B. Derivatives and Differentiation
Appendix C. Nonlinear Optimization
Appendix D. A Runge-Kutta Method for Numerical Solution of Differential Equations
Appendix E. Scales and Dimensionless Parameters
Appendix F. Approximating a Nonlinear System at an Equilibrium Point
Appendix G. Best Practices in the Use of Algebra
Hints and Answers to Selected Problems
Index.

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