Mapping Disease Transmission Risk

Enriching Models Using Biogeography and Ecology

A. Townsend Peterson (Autor)

Buch | Hardcover

224 Seiten

2015
Johns Hopkins University Press (Verlag)
978-1-4214-1473-7 (ISBN)

Infos

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.

Autor

A. Townsend Peterson is a professor of ecology and evolutionary biology at the University of Kansas. He is the coauthor of Ecological Niches and Geographic Distributions.

Inhalt

Preface
Acknowledgments
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
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 Model
Improvements and Future Steps
20. Conclusions
Literature Cited
Index

Produkt-Details

• Erscheint lt. Verlag: 21.1.2015
• Zusatzinfo: 16 Maps; 19 Line drawings, black and white
• Verlagsort: Baltimore, MD
• Sprache: englisch
• Maße: 178 x 254 mm
• Gewicht: 544 g
• Themenwelt: Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
• Themenwelt: Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung
• Themenwelt: Naturwissenschaften ► Biologie
• ISBN-10: 1-4214-1473-2 / 1421414732
• ISBN-13: 978-1-4214-1473-7 / 9781421414737
• Zustand: Neuware