Health Geography: Innovative Geospatial Epidemiology presents a comprehensive exploration of the fundamental principles and methodologies underpinning remote sensing for spatial epidemiology. Organised in two parts, the first delves into the methodology of utilizing cutting-edge remote sensing technologies to detect, analyze, and predict the spatial distribution of infectious diseases through the process of extracting critical information and creating accurate geospatial models for disease mapping and monitoring. The second part provides numerous case studies that illustrate the real-world applications and transformative potential of the interdisciplinary approaches, allowing the book to bridge the gap between theoretical knowledge and practical implementation. Health Geography is an indispensable resource for researchers, practitioners, and graduate students in spatial epidemiology, geospatial sciences, and geostatistics seeking to utilize the potential of remote sensing technologies in tackling spatial epidemiological challenges.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Preface - p. xv 7. Chapter 1 Setting the stage: Geospatial epidemiology and health geography - p. 1 8. Part 1 Trends in health geography - p. 5 9. Chapter 2 The history of spatial epidemiology - p. 7 10. Chapter 3 Advancing spatial modeling for communicable diseases: From traditional approaches to epidemic forest frameworks - p. 29 11. Chapter 4 Data quality in disease mapping - p. 43 12. Chapter 5 Bayesian spatial hierarchical modeling for estimating small-area deprivation from census data - p. 55 13. Chapter 6 Measuring perceptiveness: Unraveling the visual impact of thematic health maps - p. 77 14. Part 2 Special case studies using innovative techniques - p. 101 15. Chapter 7 Empowering COVID-19 monitoring through automated mapping - p. 103 16. Chapter 8 Geospatial intelligence in action: The vector guard web geographic information systems for mosquito and vector-borne disease control - p. 111 17. Chapter 9 The geospatial epidemiology of malaria in Greece - p. 127 18. Chapter 10 On the spatial analysis of leishmaniasis in Attica, Greece - p. 139 19. Chapter 11 Health geography insights into air quality dynamics during COVID-19 lockdown: A case study in Athens, Greece using Sentinel-5P and Google Earth Engine - p. 155 20. Chapter 12 Legionella surveillance in Crete, Greece: Spatial analysis and implications for public health management - p. 175 21. Chapter 13 Spatial aspects of Legionella - p. 187 22. Chapter 14 Reading the percutaneous coronary intervention in the light of geospatial health - p. 201 23. Chapter 15 Epilogue: Advancing health geography - p. 219 24. Index - p. 221
Health Geography: Innovative Geospatial Epidemiology presents a comprehensive exploration of the fundamental principles and methodologies underpinning remote sensing for spatial epidemiology. Organised in two parts, the first delves into the methodology of utilizing cutting-edge remote sensing technologies to detect, analyze, and predict the spatial distribution of infectious diseases through the process of extracting critical information and creating accurate geospatial models for disease mapping and monitoring. The second part provides numerous case studies that illustrate the real-world applications and transformative potential of the interdisciplinary approaches, allowing the book to bridge the gap between theoretical knowledge and practical implementation. Health Geography is an indispensable resource for researchers, practitioners, and graduate students in spatial epidemiology, geospatial sciences, and geostatistics seeking to utilize the potential of remote sensing technologies in tackling spatial epidemiological challenges.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Preface - p. xv 7. Chapter 1 Setting the stage: Geospatial epidemiology and health geography - p. 1 8. Part 1 Trends in health geography - p. 5 9. Chapter 2 The history of spatial epidemiology - p. 7 10. Chapter 3 Advancing spatial modeling for communicable diseases: From traditional approaches to epidemic forest frameworks - p. 29 11. Chapter 4 Data quality in disease mapping - p. 43 12. Chapter 5 Bayesian spatial hierarchical modeling for estimating small-area deprivation from census data - p. 55 13. Chapter 6 Measuring perceptiveness: Unraveling the visual impact of thematic health maps - p. 77 14. Part 2 Special case studies using innovative techniques - p. 101 15. Chapter 7 Empowering COVID-19 monitoring through automated mapping - p. 103 16. Chapter 8 Geospatial intelligence in action: The vector guard web geographic information systems for mosquito and vector-borne disease control - p. 111 17. Chapter 9 The geospatial epidemiology of malaria in Greece - p. 127 18. Chapter 10 On the spatial analysis of leishmaniasis in Attica, Greece - p. 139 19. Chapter 11 Health geography insights into air quality dynamics during COVID-19 lockdown: A case study in Athens, Greece using Sentinel-5P and Google Earth Engine - p. 155 20. Chapter 12 Legionella surveillance in Crete, Greece: Spatial analysis and implications for public health management - p. 175 21. Chapter 13 Spatial aspects of Legionella - p. 187 22. Chapter 14 Reading the percutaneous coronary intervention in the light of geospatial health - p. 201 23. Chapter 15 Epilogue: Advancing health geography - p. 219 24. Index - p. 221
