Mathematical Models in Population Biology and Epidemiology

From the reviews: ZENTRALBLATT MATH "The work provides an easily accessible, but concise introduction to the subject. Both graduate students and professionals will find the book an understandable, absorbing, and penetrating treatment of a beautiful theory." UK NONLINEAR NEWS "This book is aimed at biological-science students but it deserves a wider audience. The range of examples included makes it a good read for mathematically-literate non-biologists. Science and engineering students could also read this book and it could be a good text for a biomathematics courseThe authors approach of not getting stuck in theory makes this book easier to readA strength of the book is the large number of biologically-motivated problem sets. These and the references to the original biological papers would be valuable resources for an instructor. The book was written as a textbook but anyone who is curious about mathematical biology would benefit from reading it. There is enough theory to prevent the book from being trivial and the emphasis on applications carries the reader into unexpected territory." MATHEMATICAL REVIEWS "on close examination the presentation has a number of distinguishing features. First, the authors carefully discuss the underling assumptions of each model and, where appropriate, illustrate their points with real data. Second, the authors extend the discussion of discrete time maps to include systems of difference equations. Third, the authors provide very convincing arguments for the inclusion of time delays in models for population growth. Finally, the chapter on the effects of harvesting on the growth of populations would be an excellent addition to an undergraduate course in mathematical economics. This textbook is user friendly and at times captivating. At first look students may be slightly intimidated since the text contains a lot of equations. However they will soon be delighted to see that number of equation is because the authors show all of the steps in the derivations. Moreover the authors increase the relevance of this text by carefully discussing the underlying assumptions of each model and by placing the model in its proper historical contextA textbook on biomathematics must overcome two major hurdles: (1) convince biologists that the mathematics is useful in a way that is accessible to them; and (2) convince mathematicians that the topic is not trivial and hence worthy of their time. This text gets a two thumbs up." ECOLOGY "The organization within each subsection is incredibly thorough, gradually adding mathematical twists to each previous equation or model. Biological examples are provided if and when they relate to a given equation and the examples are highly idealizedthis books format is also reasonable for a survey of applied mathematics because the format facilitates comparison across fields of biologyThere is some very useful information within this book." "It is a useful book which gives a good introduction to the modelling of biology and some other similar fields. ... This book gives and discusses many continuous and discrete models from population dynamics, epidemiology, and resource management. A large number and variety of examples, exercises are included. The book is warmly recommended to undergraduate and graduate students as well as to scientists in mathematical or biological sciences." (Jzsef Terjki, Acta Scientiarum Mathematicarum, Vol. 69, 2003) "There are some jewels in this text ... . This book is intended for the student who has had a year of calculus, some background in elementary differential equations, and a little matrix theory. ... There is some very useful information within this book. The book includes problems, projects, an in-book appendix, and a future on-line appendix. Answers are provided for some but not all problems, to encourage students to become involved and not

Fred Brauer, Department of Mathematics, University of British Columbia, Canada; Carlos Castillo-Chavez, Mathematical, Computational and Modeling Sciences Center, Arizona State University, USA

Part I: Simple Single-Species Models. 1. Continuous population models. 2. Discrete population models. 3. Continuous single-species population models with delay.- Part II: Models for Interacting Species. 4. Introduction and mathematical preliminaries. 5. Continuous models for two interacting populations. 6. Harvesting in two-species population models. 7. Multi-species population models.- Part III: Structured Population Models. 8. Models for population with age structure. 9. Models for populations with spatial distribution.