Review
"this is a very well-written book...." (Int. Jnl of Epidemiology, Vol. 30/1, 2001) "The extensive exercises make the book suitable not only for courses in modeling, but also for self-study by epidemiologists, mathematicians, and statisticians." (SIAM Review, Vol. 43, No. 4) "An attractive feature is that over one-third of the book is devoted to worked-out answers to the exercises" (Society for Industrial & Applied Mathematics Review. Vol. 43 No.4. 2001)
Review
"this is a very well-written book...."(Int. Jnl of Epidemiology, Vol. 30/1, 2001) "The extensive exercises make the book suitable not only for courses in modeling, but also for self-study by epidemiologists, mathematicians, and statisticians." (SIAM Review, Vol. 43, No. 4) "An attractive feature is that over one-third of the book is devoted to worked-out answers to the exercises" (Society for Industrial & Applied Mathematics Review. Vol. 43 No.4. 2001)
Book Description
Provides systematic coverage of the mathematical theory of modelling epidemics in populations, with a clear and coherent discussion of the issues, concepts and phenomena. Mathematical modelling of epidemics is a vast and important area of study and this book helps the reader to translate, model, analyse and interpret, with numerous applications, examples and exercises to aid understanding.
Book Info
Univ. of Utrecht, Netherlands. Provides information on translating, modeling, creating analyses and interpreting, with the help of numerous exercises. Aimed at applied mathematicians with an interest in population biology and epidemiology, theoretical biologists, and epidemiologists. Hardcover, soft not avail.--This text refers to the Hardcover edition.
From the Back Cover
The mathematical modelling of epidemics in populations is a vast and important area of study. It is about translating biological assumptions into mathematics, about mathematical analysis aided by interpretation and about obtaining insight into epidemic phenomena when translating mathematical results back into population biology. Model assumptions are formulated in terms of, usually stochastic, behaviour of individuals and then the resulting phenomena, at the population level, are unravelled. Conceptual clarity is attained, assumptions are stated clearly, hidden working hypotheses are attained and mechanistic links between different observables are exposed. Features: - Model construction, analysis and interpretation receive detailed attention
- Uniquely covers both deterministic and stochastic viewpoints
- Examples of applications given throughout
- Extensive coverage of the latest research into the mathematical modelling of epidemics of infectious diseases
- Provides a solid foundation of modelling skills
The reader will learn to translate, model, analyse and interpret, with the help of the numerous exercises. In literally working through this text, the reader acquires modelling skills that are also valuable outside of epidemiology, certainly within population dynamics, but even beyond that. In addition, the reader receives training in mathematical argumentation. The text is aimed at applied mathematicians with an interest in population biology and epidemiology, at theoretical biologists and epidemiologists. Previous exposure to epidemic concepts is not required, as all background information is given. The book is primarily aimed at self-study and ideally suited for small discussion groups, or for use as a course text. Rating
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