August 24-30, 2013. ISPRS 2nd Symposium on Advances in Geospatial Technologies for Health: Cross-Disciplinary Approach to Improve Our Health and Well-being, Arlington, Virginia, USA.
For more information, visit: http://www2.isprs.org/commissions/comm8/wg2/symposium.html
The International Society for Photogrammetry and Remote Sensing (ISPRS) Working Group on Health (WG VIII/2) is organizing its 2nd Symposium on Advances in Geospatial Technologies for Health in collaboration with the 5th International Conference on Medical Geology (MEDGEO-2013) to bring together a wider group of participants.
The utilization of remote sensing and geospatial technologies has been instrumental to advance our understanding of environmental factors affecting human health and well-being. Extreme weather and related phenomena appear to be rising in frequency and intensity which pose growing health risks to human populations.
Earth observing technologies and data are important elements of a comprehensive and multi-scaled public health response both at micro and macro levels identifying immediate and long-term impacts. Remote sensing and geospatial technologies have been successfully implemented over the last 50 years examining the role of environmental factors in air-borne, vector-borne, soil-borne and water-borne diseases. With the availability of new data and advanced technologies, more robust public health measures are being implemented to improve our health and well-being.
The goals of this symposium are to bridge the geospatial science, Earth science and health science communities and to explore interdisciplinary collaborations that lead to improvements in our overall health and well-being.
This symposium includes oral and poster presentations and workshops. Topics will include applications of remote sensing and geospatial technologies in the areas of: Climate Variability and Health; Tele-Epidemiology; Environmental Public Health Surveillance; Infectious and Vector-borne Diseases; Air-borne, Soil-borne and Water-borne Diseases; Air Pollution Modeling for Health Impact Studies; Earth Observing Data and Tools for Health Studies; and Big Data Analysis in Public Health Research.