About this Research Topic
Spatial epidemiology is a rapidly growing field utilizing geospatial data, models, and tools of different types, and the integration of geoinformation technology, primarily Earth Observation and Geographical Information Systems, to address both infectious and chronic disease issues. In the era of big data, spatial epidemiology mainly utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. It has been calling for efforts from spatial science to provide long-term spatial data and advanced spatial methods for revolutionizing traditional epidemiological research.
The growth in the geoinformation sector, combined with the continuous availability of new geospatial and epidemiological data, has resulted in rising interest in developing innovative methods in spatial data analysis, software tools, and relevant platforms. Their availability provides important support in analyzing problems of infectious diseases and chronic diseases and in taking robust public health measures aiming at improving our health and well-being.
This Research Topic invites the submission of studies to showcase latest applications of spatial data and methods in improving traditional epidemiological research and existing spatial epidemiological research. Submissions discussing novel concepts related to the underlying mechanisms between spatial exposures and health outcomes and practical applications in various aspects of pandemic control and prevention are also welcomed.
• Spatial patterns of health outcomes through quantitative analysis
• Infectious diseases and socioeconomic and climatic factors
• Spatiotemporal predictive models of disease transmission
• Novel datasets holding potential in epidemiological research
• Innovative tools and platforms in the analysis of epidemiological data
• Impact of community interventions on health and well-being
• Advances in the use of geoinformation in health research
The growth in the geoinformation sector, combined with the continuous availability of new geospatial and epidemiological data, has resulted in rising interest in developing innovative methods in spatial data analysis, software tools, and relevant platforms. Their availability provides important support in analyzing problems of infectious diseases and chronic diseases and in taking robust public health measures aiming at improving our health and well-being.
This Research Topic invites the submission of studies to showcase latest applications of spatial data and methods in improving traditional epidemiological research and existing spatial epidemiological research. Submissions discussing novel concepts related to the underlying mechanisms between spatial exposures and health outcomes and practical applications in various aspects of pandemic control and prevention are also welcomed.
• Spatial patterns of health outcomes through quantitative analysis
• Infectious diseases and socioeconomic and climatic factors
• Spatiotemporal predictive models of disease transmission
• Novel datasets holding potential in epidemiological research
• Innovative tools and platforms in the analysis of epidemiological data
• Impact of community interventions on health and well-being
• Advances in the use of geoinformation in health research
Keywords: Spatial epidemiology, health geography, chronic disease, environmental health, environmental exposure
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
