About this Research Topic
Location plays a crucial role in the health of both populations and individuals. Geographical Information System (GIS) is a computer-based system that collects, stores, represents and manipulates spatial data. It has become a powerful tool for investigating health outcomes and healthcare provision at individual and population levels. GIS supports public health in various ways, such as mapping, monitoring, and modelling chronic and infectious diseases, emergency preparedness, disease surveillance, and targeting health promotion initiatives.
The recent advancements in GeoAI, which encompasses geospatial data collection (sensors, IOT, high-resolution satellite imagery), spatial analysis techniques, artificial intelligence, and high-performance spatial computing, offer new opportunities to explore the impact of place on health further. Novel sources of big spatial data, including personal sensing, satellite remote sensing, and social media, are being used in conjunction with GeoAI to answer research questions from various disciplines, including epidemiology, social and behavioural sciences, genetics, infectious diseases, and environmental health.
For instance, GeoAI has been utilized to model the surrounding environment and link locations to potential health outcomes, providing valuable insights into how environmental, social, and other exposures might impact health. Furthermore, GeoAI has led to the generation of hypotheses, new data linkages, and predictions of disease occurrence. These advanced approaches will lay the foundation for further research and contribute to advancing health through technology integration.
This Research Topic provides a valuable resource for researchers, healthcare professionals, and policymakers. It aims to advance spatial health research by combining GIS, spatial analysis, artificial intelligence, and big spatial data. Submissions from various interdisciplinary perspectives will provide insights into the challenges of integrating these technologies in the field of health and medicine and bring together experts from fields such as public health, clinical medicine, epidemiology, health informatics, environmental science, and health geography to exchange ideas, experiences, and insights. We believe this research topic will significantly improve health outcomes and advance the health science field.
The recent advancements in GeoAI, which encompasses geospatial data collection (sensors, IOT, high-resolution satellite imagery), spatial analysis techniques, artificial intelligence, and high-performance spatial computing, offer new opportunities to explore the impact of place on health further. Novel sources of big spatial data, including personal sensing, satellite remote sensing, and social media, are being used in conjunction with GeoAI to answer research questions from various disciplines, including epidemiology, social and behavioural sciences, genetics, infectious diseases, and environmental health.
For instance, GeoAI has been utilized to model the surrounding environment and link locations to potential health outcomes, providing valuable insights into how environmental, social, and other exposures might impact health. Furthermore, GeoAI has led to the generation of hypotheses, new data linkages, and predictions of disease occurrence. These advanced approaches will lay the foundation for further research and contribute to advancing health through technology integration.
This Research Topic provides a valuable resource for researchers, healthcare professionals, and policymakers. It aims to advance spatial health research by combining GIS, spatial analysis, artificial intelligence, and big spatial data. Submissions from various interdisciplinary perspectives will provide insights into the challenges of integrating these technologies in the field of health and medicine and bring together experts from fields such as public health, clinical medicine, epidemiology, health informatics, environmental science, and health geography to exchange ideas, experiences, and insights. We believe this research topic will significantly improve health outcomes and advance the health science field.
Keywords: GeoAI, GIS Analysis, Spatial Analysis, Health Geography, GIScience, Big Spatial Data
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