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{ "item_title" : "Epidemic Modelling", "item_author" : [" D. J. Daley", "J. Gani "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/52/101/467/0521014670_b.jpg", "price_data" : { "retail_price" : "68.00", "online_price" : "68.00", "our_price" : "68.00", "club_price" : "68.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Epidemic Modelling|D. J. Daley

Epidemic Modelling : An Introduction

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Overview

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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Details

  • ISBN-13: 9780521014670
  • ISBN-10: 0521014670
  • Publisher: Cambridge University Press
  • Publish Date: May 2001
  • Dimensions: 9.08 x 6.26 x 0.46 inches
  • Shipping Weight: 0.69 pounds
  • Page Count: 228

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