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  • Textbook
  • © 2016

Introduction to Mathematical Biology

Modeling, Analysis, and Simulations

  • Includes reviews of basic ordinary differential equations and modeling techniques
  • Addresses MATLAB programming for students without programming experience
  • Includes health topics of great public interest
  • Section of solutions included at the end of the book
  • Provides readers with background in numerical analysis and how they are applied in simulations of models
  • Includes supplementary material: sn.pub/extras

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-vii
  2. Introduction

    • Ching-Shan Chou, Avner Friedman
    Pages 1-2
  3. Bacterial Growth in Chemostat

    • Ching-Shan Chou, Avner Friedman
    Pages 3-27
  4. System of Two Linear Differential Equations

    • Ching-Shan Chou, Avner Friedman
    Pages 29-42
  5. Systems of Two Differential Equations

    • Ching-Shan Chou, Avner Friedman
    Pages 43-50
  6. Predator–Prey Models

    • Ching-Shan Chou, Avner Friedman
    Pages 51-63
  7. Two Competing Populations

    • Ching-Shan Chou, Avner Friedman
    Pages 65-74
  8. General Systems of Differential Equations

    • Ching-Shan Chou, Avner Friedman
    Pages 75-85
  9. The Chemostat Model Revisited

    • Ching-Shan Chou, Avner Friedman
    Pages 87-95
  10. Spread of Disease

    • Ching-Shan Chou, Avner Friedman
    Pages 97-104
  11. Enzyme Dynamics

    • Ching-Shan Chou, Avner Friedman
    Pages 105-115
  12. Bifurcation Theory

    • Ching-Shan Chou, Avner Friedman
    Pages 117-128
  13. Atherosclerosis: The Risk of High Cholesterol

    • Ching-Shan Chou, Avner Friedman
    Pages 129-136
  14. Cancer-Immune Interaction

    • Ching-Shan Chou, Avner Friedman
    Pages 137-146
  15. Cancer Therapy

    • Ching-Shan Chou, Avner Friedman
    Pages 147-156
  16. Tuberculosis

    • Ching-Shan Chou, Avner Friedman
    Pages 157-164
  17. Back Matter

    Pages 165-172

About this book

This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies.  The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillations arising from bifurcations.  In developing these topics, readers will also be introduced to the basic theory of ordinary differential equations, and how to work with MATLAB without having any prior programming experience.


The second set of case studies were adapted from recent and current research papers to the level of the students.  Topics have been selected based on public health interest.  This includes the risk of atherosclerosis associated with high cholesterol levels, cancer and immune interactions, cancer therapy, and tuberculosis.  Readers will experience how mathematical models and their numerical simulations can provide explanations that guide biological andbiomedical research.


Considered to be the undergraduate companion to the more advanced book "Mathematical Modeling of Biological Processes" (A. Friedman, C.-Y. Kao, Springer – 2014), this book is geared towards undergraduate students with little background in mathematics and no biological background.

Reviews

“The book under review is an interesting addition to the list of mathematical biology texts and is designed for students, in both mathematics and biology, who have completed a semester or two of calculus. … The biological applications are well chosen and indicate how differential equations are used in biological research. Overall, this is a nice textbook for a first introduction to mathematical biology.” (Jason M. Graham, Mathematical Reviews, November, 2016)

Authors and Affiliations

  • Math Tower, Ohio State Univ, Columbus, USA

    Ching Shan Chou

  • Dept of Mathematics, Ohio State Univ, Columbus, USA

    Avner Friedman

About the authors

Ching-Shan Chou is an Associate Professor in the Department of Mathematics at Ohio State University.  She received her Ph.D. in the area of applied mathematics from Brown University.  She is currently working in the area of computational and mathematical biology.

Avner Friedman is a Distinguished University Professor at Ohio State University.  He received his Ph.D. in 1956 from the Hebrew University.  His research interests include partial differential equations, both general mathematical theory as well as applications to models that arise in the physical and life sciences, in engineering, and in industry.

Bibliographic Information

Buy it now

Buying options

eBook USD 19.99 USD 39.99
50% discount Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 29.99 USD 54.99
45% discount Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 29.99 USD 54.99
45% discount Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access