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141205s2014 mdu o 00 0 eng d |
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|a 9781421414744
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|z 9781421414737
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|a (OCoLC)897858282
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040 |
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|a MdBmJHUP
|c MdBmJHUP
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100 |
1 |
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|a Peterson, A. Townsend
|q (Andrew Townsend),
|d 1964-
|e author.
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245 |
1 |
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|a Mapping Disease Transmission Risk :
|b Enriching Models Using Biogeography and Ecology /
|c A. Townsend Peterson.
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264 |
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1 |
|a Baltimore :
|b Johns Hopkins University Press,
|c 2014.
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264 |
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3 |
|a Baltimore, Md. :
|b Project MUSE,
|c 2014
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264 |
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4 |
|c ©2014.
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300 |
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|a 1 online resource (224 pages).
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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|a 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.
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|a 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.
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505 |
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|a 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.
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505 |
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|a 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.
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505 |
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|a 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.
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546 |
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|a English.
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588 |
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|a Description based on print version record.
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650 |
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7 |
|a Public health surveillance.
|2 fast
|0 (OCoLC)fst01082426
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650 |
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7 |
|a Medical mapping.
|2 fast
|0 (OCoLC)fst01736782
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650 |
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7 |
|a Medical geography.
|2 fast
|0 (OCoLC)fst01014152
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650 |
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7 |
|a Epidemiology.
|2 fast
|0 (OCoLC)fst00914091
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650 |
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7 |
|a Mathematical models.
|2 fast
|0 (OCoLC)fst01012085
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650 |
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7 |
|a MEDICAL
|x Public Health.
|2 bisacsh
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650 |
|
7 |
|a MEDICAL
|x Preventive Medicine.
|2 bisacsh
|
650 |
|
7 |
|a MEDICAL
|x Forensic Medicine.
|2 bisacsh
|
650 |
|
7 |
|a mathematical models.
|2 aat
|
650 |
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6 |
|a Modeles mathematiques.
|
650 |
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6 |
|a Maladies infectieuses
|x Transmission.
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650 |
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6 |
|a Épidemiologie.
|
650 |
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6 |
|a Sante publique
|x Surveillance.
|
650 |
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6 |
|a Geographie medicale.
|
650 |
|
6 |
|a Cartographie medicale.
|
650 |
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2 |
|a Epidemiology
|
650 |
|
2 |
|a Topography, Medical
|
650 |
2 |
2 |
|a Models, Theoretical
|
650 |
2 |
2 |
|a Geographic Mapping
|
650 |
2 |
2 |
|a Disease Transmission, Infectious
|
650 |
1 |
2 |
|a Topography, Medical
|x methods
|
650 |
|
0 |
|a Mathematical models.
|
650 |
|
0 |
|a Epidemiology.
|
650 |
|
0 |
|a Public health surveillance.
|
650 |
|
0 |
|a Medical geography.
|
650 |
|
0 |
|a Medical mapping.
|
655 |
|
7 |
|a Electronic books.
|2 local
|
710 |
2 |
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|a Project Muse.
|e distributor
|
830 |
|
0 |
|a Book collections on Project MUSE.
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856 |
4 |
0 |
|z Texto completo
|u https://projectmuse.uam.elogim.com/book/36167/
|
945 |
|
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|a Project MUSE - Custom Collection
|
945 |
|
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|a Project MUSE - 2014 Ecology and Evolution
|
945 |
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|a Project MUSE - 2014 Complete
|