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Mapping Disease Transmission Risk Enriching Models Using Biogeography and Ecology 1st Edition by A Townsend Peterson ISBN 1421414732 9781421414737

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Mapping Disease Transmission Risk Enriching Models Using Biogeography and Ecology 1st Edition A. Townsend Peterson Digital Instant Download

Author(s): A. Townsend Peterson
ISBN(s): 9781421414737, 1421414732
Edition: 1
File Details: PDF, 13.17 MB
Year: 2014
Language: english
SKU: EB-5219022 Category: Tag:

Mapping Disease Transmission Risk Enriching Models Using Biogeography and Ecology 1st Edition by A Townsend Peterson – Ebook PDF Instant Download/Delivery: 1421414732, 9781421414737
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ISBN 10: 1421414732 
ISBN 13: 9781421414737
Author: A Townsend Peterson

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.

Mapping Disease Transmission Risk Enriching Models Using Biogeography and Ecology 1st Table of contents:

1 Introduction

  • Ecology and Biogeography

  • This Book

  • Conclusions

Part I: Distributional Ecology

2 General Conceptual Framework for Species’ Distributions

  • Historical Background

  • A General Schema of Distributional Ecology

  • Disease Systems

  • Conclusions

3 Status of Data for Understanding Disease Distributions

  • Disease Case-Occurrence Data Sets

  • Relevant Biodiversity Occurrence Data Sets

  • Georeferencing

  • The Meaning of No Records

  • Conclusions

4 Current Tools for Understanding Disease Distributions

  • The Current Toolkit

  • Shortcomings of the Current Methodologies

  • Conclusions

Part II: Disease Modeling Basics

5 Modifications to the Basic Framework

  • Disease Peculiarities

  • Real-World Examples: West Nile Virus and Others

  • Implications for Disease Modeling

  • Conclusions

6 Modeling Components versus Outcomes

  • Disease Transmission Systems as Sets of Interacting Species

  • Black-Box Approaches

  • Component-Based Approaches

  • Combined Approaches

  • Conclusions

7 Space-Only versus Space-and-Environment Models

  • Examples and Illustrations

  • Contrasting the Two Types of Models

  • Conclusions

Part III: Preparing the Data

8 Garbage-In-Garbage-Out Principle

  • Problems with Data Quality

  • Biases Created by Geography

  • Conclusions

9 Assembling Occurrence Data

  • General Considerations

  • Obtaining and Improving Occurrence Data

  • Compatibility and Study Design

  • Conclusions

10 Assembling Environmental Data

  • Relevance to Species’ Distributions

  • General Considerations

  • Modifiable Areal Unit Problem

  • Specific Data Resources

  • Conclusions

11 Study Areas and BAM

  • Defining the Area M

  • Sampling Considerations

  • BAM Configurations

  • Details of M and A for Model Transfers

  • Conclusions

Part IV: Developing Models

12 Calibrating Niche Models

  • Introduction to Niche Models

  • Nuts and Bolts

  • Calibrating the “Best” Model

  • Transferring and Extrapolating

  • Characterizing Ecological Niches

  • Conclusions

13 Processing Raw Outputs into Useful Maps

  • Choosing Appropriate Thresholds

  • From Potential to Actual Distributions

  • Projecting and Transferring Models

  • Conclusions

14 Evaluating Niche Models

  • Controversies and Inappropriate Approaches

  • Basic Concepts

  • The Confusion Matrix and Its Implications

  • Binary Model Evaluation

  • Continuous Model Evaluation

  • Model Evaluation and Model Performance

  • Conclusions

15 Developing Risk Maps

  • Initial Estimates

  • Risk Modifiers

  • Type I versus Type II Errors

  • Overlay, Testing, and Simulation

  • Conclusions

Part V: Examples of Applications

16 Identifying Risk Factors

  • Black-Box Disease Ecology

  • Vector Ecology

  • Human Variables

  • Improvements and Future Steps

17 Spatial Interpolation and Prediction

  • Black-Box Examples

  • Component-Based Examples

  • Improvements and Future Steps

18 Identifying Species Involved in Transmission Cycles

  • Identifying Guilty Species

  • Understanding Transmission Systems

  • Detecting Movement Vectors

  • Complete Unknowns

  • Improvements and Future Steps

19 Responses to Environmental Change

  • Early Mechanistic Models

  • Empirical Niche Model Projections of Climate Change

  • Mechanistic versus Empirical Models

  • Improvements and Future Steps

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Tags: A Townsend Peterson, Mapping Disease, Biogeography