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Full Description
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.
Contents
Section 1: Introduction
1. Introduction
Section 2: Trends in Health Geography
2. The History of Spatial Epidemiology
3. Geospatial technology in spatial epidemiology
4. Spatial metrics and data in Geography of Health
5. Visualize spatial epidemics
6. Epidemiologic measurements for a health approach
7. Modeling Spatial Variation of Epidemiologic Risk
8. Spatial heterogeneity in epidemiology
9. Disease spatial clustering
10. The Malaria Atlas Project
11. VGI innovations for public health
12. The role of transportation on the spread of zoonotic diseases
Section 3: Special case studies using innovative techniques
13. The case of Covid in Greece
14. Malaria: an old new problem in Greece
15. Vector-Borne Zoonoses: West Nile Virus
16. Zika virus infection
17. Spatiality of Dengue Fever Outbreaks
18. Spatial Aspects of Legionellosis in Greece
19. Spatial analysis and mapping of the Ebola virus outbreaks in Africa
20. The Avian influenza virus in China. Spatial investigation
21. Spatial analysis of COVID-19
22. Conclusions and future perspectives
