Epidemiology and geography : principles, methods and tools of spatial analysis / Marc Souris.

By: Souris, Marc [author.]
Contributor(s): Ohio Library and Information Network
Series: Information systems, web and pervasive computing series: Publisher: London : Hoboken, NJ : ISTE ; John Wiley & Sons, Inc., 2019Copyright date: �2019Description: 1 online resource (xviii, 251 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119597438; 1119597439; 9781119597445; 1119597447; 9781119528203; 1119528208Subject(s): Medical geography | Spatial analysis (Statistics) | Spatial Analysis | Geography, Medical -- methodsGenre/Form: Electronic books.Additional physical formats: Print version:: Epidemiology and geography.DDC classification: 614.4/2 LOC classification: RA792 | .S68 2019Online resources: Connect to resource | Connect to resource | Connect to resource (off-campus)
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.
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Includes bibliographical references and index.

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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