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|a Souris, Marc,
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|a Epidemiology and geography :
|b principles, methods and tools of spatial analysis /
|c Marc Souris.
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|a London :
|b ISTE ;
|a Hoboken, NJ :
|b John Wiley & Sons, Inc.,
|c 2019.
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|a 1 online resource (xviii, 251 pages)
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|a Includes bibliographical references and index.
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|a Online resource; title from digital title page (viewed on March 15, 2019).
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|a 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.
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|a 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 describes the objectives, principles, methods and tools of spatial analysis and geographic information systems applied to the field of health, and more specifically to the study of the spatial distribution of disease and health?environment relationships. It is a practical introduction to spatial and spatio-temporal analysis for epidemiology and health geography, and takes an educational approach illustrated with real-world examples. Epidemiology and Geography presents a complete and straightforward overview of the use of spatial analysis in epidemiology for students, public health professionals, epidemiologists, health geographers and specialists in health?environment studies.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Medical geography.
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650 |
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|a Spatial analysis (Statistics)
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|a Spatial Analysis
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|a Geography, Medical
|x methods
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|a Topography, Medical
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|a Géographie médicale.
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|a Spatial analysis (Statistics)
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|i has work:
|a Epidemiology and geography (Text)
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|i Print version:
|a Souris, Marc.
|t Epidemiology and geography.
|d London : ISTE ; Hoboken, NJ : John Wiley & Sons, Inc., 2019
|z 1786303604
|z 9781786303608
|w (OCoLC)1082447467
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