This general introduction to the mathematical techniques needed to understand epidemiology begins with an historical outline of some disease statistics dating from Daniel Bernoulli's smallpox data of 1760. The authors then go on to describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either homogeneous or stratified (nonhomogeneous) populations. They offer a range of methods for constructing and analyzing models, mostly in the context of viral and bacterial diseases of human populations. These models are contrasted with models for rumors and macro-parasitic diseases. Questions of fitting data to models, and the use of models to understand methods for controlling the spread of infection, are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text.
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This general introduction to the mathematical techniques needed to understand epidemiology begins with an historical outline of some disease statistics, before describing simple mathematical models for epidemics. A range of methods for constructing and analysing models is provided. Questions of fitting data to models, and their use in understanding methods for controlling the spread of infection are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text.
"An excellent pedagogical resource for students and researchers...a lucid exposition of the basic mathematical methods required for the study of epidemic models. Students of mathematical biology...will find this work very appealing." Choice
"The book's emphasis is on mathematical techniques for the analysis of given models...Illustrations are simple, but relevant and clear...Although the authors claim that "the monograph id designed to introduce probabilists and statisticians to the diverse models describing the spread of epidemics and rumours in a population", the clarity of style of this monograph would certainly also make it suitable reading matter for many mathematical biologists...To my knowledge, Daley and Gani's monograph is the only recent book of this nature.Its excellence is, therefore fortunate." Canadian Journal of Infections Diseases
"... the text offers a wealth of information regarding epidemic modeling ... making the book usable as a text for upperlevel graduate students in a program with a strong statistical foundation." Chance
"a pleasing depth of material." Siam Review Vol 43/4
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Paperback. Condition: New. This general introduction to the ideas and techniques required for the mathematical modelling of diseases begins with an outline of some disease statistics dating from Daniel Bernoulli's 1760 smallpox data. The authors then describe simple deterministic and stochastic models in continuous and discrete time for epidemics taking place in either homogeneous or stratified (non-homogeneous) populations. Several techniques for constructing and analysing models are provided, mostly in the context of viral and bacterial diseases of human populations. These models are contrasted with models for rumours and vector-borne diseases like malaria. Questions of fitting data to models, and their use in understanding methods for controlling the spread of infection, are discussed. Exercises and complementary results at the end of each chapter extend the scope of the text, which will be useful for students taking courses in mathematical biology who have some basic knowledge of probability and statistics. Seller Inventory # LU-9780521014670
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