Spatial information technologies, including remote sensing, Geographic Information System (GIS), and Global Positioning System (GPS), hold great potential for public health and epidemiology, particularly in the context of infectious disease surveillance and control, where prompt location of cases, rapid communication of information, and quick mapping of the epidemic’s dynamics are vital. For example, spatial information technologies enable the acquisition of large-scale, multi-temporal, high-accuracy disease related environmental parameters such as vegetation, water, soil, and air quality, facilitate the identification of primary factors affecting disease transmission, and provide scientific and technological support for monitoring, early warning, assessment, emergency rescue, and mitigation before, during, and after an infectious disease outbreak.
This Research Topic aims to capture recent research in infectious diseases surveillance and control based on spatial information technologies, offering a forum for researchers to communicate their findings, scientific interpretations, and opinions with topics ranging from mapping of infectious diseases distribution to analysis and early warning of infectious disease transmission. The goal is to highlight the advances that have been made in this research area in recent years, and progress towards how to best analyzing spatial and temporal trends, stratifying risk factors, and assessing resource allocation.
This Research Topic welcome the submission of studies highlighting the advances that have been made in this research area in recent years, and progress towards how to best analyzing spatial and temporal trends, stratifying risk factors, assessing resource allocation.
Original research articles, brief research report and reviews are expected to include but not limited to the following topics:
? Levering Earth observation, geospatial big data and machine learning for enhanced infectious diseases monitoring.
? Measuring and evaluating the impact of the environmental changes on infectious disease spread.
? GIS-based infectious disease mapping, predictive modelling, and early warning.
? Novel approaches in examining the spatial heterogeneity and spatial-temporal clustering patterns of infectious diseases.
? Innovative spatial methods and computing technologies for geospatial big data analytics in the context of infectious diseases.
Spatial information technologies, including remote sensing, Geographic Information System (GIS), and Global Positioning System (GPS), hold great potential for public health and epidemiology, particularly in the context of infectious disease surveillance and control, where prompt location of cases, rapid communication of information, and quick mapping of the epidemic’s dynamics are vital. For example, spatial information technologies enable the acquisition of large-scale, multi-temporal, high-accuracy disease related environmental parameters such as vegetation, water, soil, and air quality, facilitate the identification of primary factors affecting disease transmission, and provide scientific and technological support for monitoring, early warning, assessment, emergency rescue, and mitigation before, during, and after an infectious disease outbreak.
This Research Topic aims to capture recent research in infectious diseases surveillance and control based on spatial information technologies, offering a forum for researchers to communicate their findings, scientific interpretations, and opinions with topics ranging from mapping of infectious diseases distribution to analysis and early warning of infectious disease transmission. The goal is to highlight the advances that have been made in this research area in recent years, and progress towards how to best analyzing spatial and temporal trends, stratifying risk factors, and assessing resource allocation.
This Research Topic welcome the submission of studies highlighting the advances that have been made in this research area in recent years, and progress towards how to best analyzing spatial and temporal trends, stratifying risk factors, assessing resource allocation.
Original research articles, brief research report and reviews are expected to include but not limited to the following topics:
? Levering Earth observation, geospatial big data and machine learning for enhanced infectious diseases monitoring.
? Measuring and evaluating the impact of the environmental changes on infectious disease spread.
? GIS-based infectious disease mapping, predictive modelling, and early warning.
? Novel approaches in examining the spatial heterogeneity and spatial-temporal clustering patterns of infectious diseases.
? Innovative spatial methods and computing technologies for geospatial big data analytics in the context of infectious diseases.
