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A revolutionary book that presents analytical tools for understanding why a particular disease is transmitted within a specific geographic area.A. Townsend Peterson, one of the pioneers of ecological niche modeling, presents a synthesis that illuminates new and more effective infectious disease mapping methods. His work—the culmination of twelve years of refinement—breaks new ground by integrating biogeographic and ecological factors with spatial models. Aimed at seasoned epidemiologists and public health experts, this interdisciplinary book explains the conceptual and technical underpinnings of Peterson’s approach while simultaneously describing the potentially enormous benefits of his modeling method.Peterson treats disease transmission areas for what they are—distributions of species. The book argues that complex, fragmented, and highly irregular disease patterns can only be understood when underlying environmental drivers are considered. The result is an elegant modeling approach that challenges static spatial models and provides a framework for recasting disease mapping. Anyone working in the area of disease transmission, particularly those employing predictive maps, will find Peterson’s book both inspiring and indispensable.

Table of Contents

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  1. Cover
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  1. Title Page, Copyright
  2. pp. i-iv
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  1. Contents
  2. pp. v-viii
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  1. Preface
  2. pp. ix-xii
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  1. Acknowledgments
  2. pp. xiii-xiv
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  1. 1 Introduction
  2. pp. 1-4
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  1. Part I: Distributional Ecology
  1. 2 General Conceptual Framework for Species’ Distributions
  2. pp. 7-16
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  1. 3 Status of Data for Understanding Disease Distributions
  2. pp. 17-35
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  1. 4 Current Tools for Understanding Disease Distributions
  2. pp. 36-44
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  1. Part II: Disease Modeling Basics
  1. 5 Modifications to the Basic Framework
  2. pp. 47-52
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  1. 6 Modeling Components versus Outcomes
  2. pp. 53-67
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  1. 7 Space-Only versus Space-and-Environment Models
  2. pp. 68-72
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  1. Part III: Preparing the Data
  1. 8 Garbage-In-Garbage-Out Principle
  2. pp. 75-83
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  1. 9 Assembling Occurrence Data
  2. pp. 84-93
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  1. 10 Assembling Environmental Data
  2. pp. 94-103
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  1. 11 Study Areas and BAM
  2. pp. 104-110
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  1. Part IV: Developing Models
  1. 12 Calibrating Niche Models
  2. pp. 113-123
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  1. 13 Processing Raw Outputs into Useful Maps
  2. pp. 124-129
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  1. 14 Evaluating Niche Models
  2. pp. 130-139
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  1. 15 Developing Risk Maps
  2. pp. 140-150
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  1. Part V: Examples of Applications
  1. 16 Identifying Risk Factors
  2. pp. 153-157
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  1. 17 Spatial Interpolation and Prediction
  2. pp. 158-163
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  1. 18 Identifying Species Involved in Transmission Cycles
  2. pp. 164-170
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  1. 19 Responses to Environmental Change
  2. pp. 171-180
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  1. 20 Conclusions
  2. pp. 181-184
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  1. Literature Cited
  2. pp. 185-208
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  1. Index
  2. pp. 209-210
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