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Epidemiology and geography : principles, methods and tools of spatial analysis /
Localization is involved everywhere in epidemiology: health phenomena often involve spatial relationships among individuals and risk factors related to geography and environment. Therefore, the use of localization in the analysis and comprehension of health phenomena is essential. This book describe...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : Hoboken, NJ :
ISTE ; John Wiley & Sons, Inc.,
2019.
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| Colección: | Information systems, web and pervasive computing series.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.