Epidemiology and geography : principles, methods and tools of spatial analysis /
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| Format: | eBook |
| Language: | English |
| Published: |
London : Hoboken, NJ :
ISTE ; John Wiley & Sons, Inc.,
2019.
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| Series: | Information systems, web and pervasive computing series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Introduction: Software and Databases. Software. QGIS
- ArcGIS
- SavGIS
- R
- GeoDA
- SaTScanTM
- GWR4
- Gama
- Data for the examples
- 1. Methodological Context. A systemic approach to health; Risk and public health; Epidemiology; Health geography; Spatial analysis for epidemiology and health geography; Geographic information systems; Book structure; 2. Spatial Analysis of Health Phenomena: General Principles. Spatial analysis in epidemiology and health geography
- Spatial distribution of a health phenomenon
- Spatial analysis in epidemiology
- Spatial and statistical dependence
- Causal relationships, explanatory factors, confounding factors
- Uncertainty in event localization
- Health data are often aggregated into geographical units
- Spatial analysis terminology and formalism
- General approach of spatial analysis in epidemiology
- Required knowledge on epidemiology and statistics
- 3. Spatial Data in Health. Introduction
- Health data
- Spatialization of epidemiological data
- Sources of data
- 4. Cartographic Representations and Synthesis Tools. Introduction
- Why use mapping methods?
- How to use mapping?
- Cartographic representations
- Descriptive statistics and visual synthesis tools
- Interpolations and trend surfaces
- Spatio-temporal animations
- 5. Spatial distribution analysis. Direct methods for spatial analysis ; Continuous space point pattern, subset ; Global spatial analyses ; Example: emergence and diffusion of avian influenza
- 6. Spatial analysis of risk. Aggregation-based spatial analyses ; Statistical modeling of spatial data ; An example: analysis of tuberculosis risk factors
- 7. Space-time analyses and modeling. Time-distance relationships ; Mobile mean points ; Spatio-temporal autocorrelation and clusters ; Emergence diffusion, pathway ; Spatio-temporal modeling of health phenomena.