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. - Provides Earth Observation techniques to analyze spatial data and space time variations in disease incidences- Delivers methodology for digital image processing, analysis and processing of primary data for monitoring, analyzing and spatiotemporal prediction of possible outbreaks- Includes a section of case studies on the use of remote sensing technologies for specific techniques, models and workflows to deal with disease

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. - Provides Earth Observation techniques to analyze spatial data and space time variations in disease incidences- Delivers methodology for digital image processing, analysis and processing of primary data for monitoring, analyzing and spatiotemporal prediction of possible outbreaks- Includes a section of case studies on the use of remote sensing technologies for specific techniques, models and workflows to deal with disease

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. - Provides Earth Observation techniques to analyze spatial data and space time variations in disease incidences- Delivers methodology for digital image processing, analysis and processing of primary data for monitoring, analyzing and spatiotemporal prediction of possible outbreaks- Includes a section of case studies on the use of remote sensing technologies for specific techniques, models and workflows to deal with disease