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

Includes bibliographical references and index.

Online resource; title from digital title page (viewed on March 15, 2019).

Cover; Half-Title Page; Title Page; Copyright Page; Contents; Foreword; Preface; Introduction: Software and Databases; I.1. Software; I.1.1. QGIS; I.1.2. ArcGIS; I.1.3. SavGIS; I.1.4. R; I.1.5. GeoDA; I.1.6. SaTScanTM; I.1.7. GWR4; I.1.8. Gama; I.2. Data for the examples; 1. Methodological Context; 1.1. A systemic approach to health; 1.2. Risk and public health; 1.3. Epidemiology; 1.4. Health geography; 1.5. Spatial analysis for epidemiology and health geography; 1.6. Geographic information systems; 1.7. Book structure; 2. Spatial Analysis of Health Phenomena: General Principles

2.1. Spatial analysis in epidemiology and health geography2.1.1. Spatial distribution of a health phenomenon; 2.1.2. Spatial analysis in epidemiology; 2.1.3. Spatial and statistical dependence; 2.1.4. Causal relationships, explanatory factors, confounding factors; 2.1.5. Uncertainty in event localization; 2.1.6. Health data are often aggregated into geographical units; 2.2. Spatial analysis terminology and formalism; 2.2.1. Objects, attributes, events; 2.2.2. Localization and spatial domain; 2.2.3. The formalism of descriptive analysis; 2.2.4. The formalism of the explanatory analysis

2.3. General approach of spatial analysis in epidemiology2.3.1. The approach of descriptive analysis; 2.3.2. The approach of explanatory analysis; 2.3.3. Spatial analysis methods; 2.3.4. Spatial analysis and health geography; 2.4. Required knowledge on epidemiology and statistics; 2.4.1. Epidemiology; 2.4.2. Statistical analysis; 2.4.3. Methods for model adjustment; 2.4.4. Several distributions and models; 3. Spatial Data in Health; 3.1. Introduction; 3.2. Health data; 3.2.1. Various types of data for individuals; 3.2.2. Individual and aggregated health data

3.2.3. Description of the healthcare system3.3. Spatialization of epidemiological data; 3.3.1. Localization in space; 3.3.2. Localization in time; 3.3.3. Localization in time and space; 3.3.4. Data aggregated according to a spatial criterion; 3.3.5. Ethics and localization; 3.4. Sources of data; 3.4.1. Epidemiological data; 3.4.2. Geographical and environmental data; 3.4.3. Access to geographical data; 4. Cartographic Representations and Synthesis Tools; 4.1. Introduction; 4.1.1. Why use mapping methods?; 4.1.2. How to use mapping?; 4.2. Cartographic representations

4.2.1. Mapping events or health status4.2.2. Mapping rates: prevalence, incidence, risk and odds ratio; 4.2.3. Mapping flows and spatial relationships; 4.2.4. Mapping limitations; 4.2.5. Mapping rate significance; 4.2.6. Rate adjustment; 4.3. Descriptive statistics and visual synthesis tools; 4.3.1. Average points, median points; 4.3.2. Standard deviational ellipses; 4.4. Interpolations and trend surfaces; 4.4.1. Interpolations and continuous representation; 4.4.2. Directions and gradients; 4.4.3. Anamorphoses; 4.5. Spatio-temporal animations; 4.5.1. What and how; 4.5.2. Animated mapping