Background
GIS and satellite sensor technology are emerging as new tools for epidemiological studies on human and animal diseases. By use of statistical and image analysis methods, GIS allows computer-based analysis of multiple layers of map data in
digital form, including sensor data from earth observing satellites, agroclimatic databases and maps of host populations, vector distribution and disease prevalence. GIS layers are registered to the identical scale and projection of a reference base map. This allows analysis of all information by location, including 'descriptive data sets that are attached' to specific locations or areas. Once created, GIS provides a dynamic, easily updated mapping system that can be used to recommend and monitor disease interventions. For the first time, many excellent current and historical local disease investigations can be systematically and accurately placed in a broad geographical and ecological context. Schistosomiasis is the second most important parasitic disease, affecting over 200 million people in tropical and sub-tropical environments. It continues to pose significant health risks even in countries that have well-developed treatment and control programs, such as Egypt and China. More systematic approaches to optimizing interventions and control program management by health workers in affected countries may be made possible by access to meaningful data from GIS control models. The Team Residency was directed at developing strategies that will facilitate collaboration, data sharing and development of effective GIS models by regional networks of scientists via the Internet and at development of plans to develop a more comprehensive global GIS database for control of snail-borne disease.