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Mapping Disease Transmission Risk : Enriching Models Using Biogeography and Ecology /
| Autor principal: | |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Baltimore :
Johns Hopkins University Press,
2014.
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Contents; 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 MethodologiesConclusions; 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 PrincipleProblems 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 ModelsIntroduction 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 MapsInitial 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.