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Remote Sensing (RS) and Geographic Information Systems (GIS) are map-based tools that can be used to study the distribution, dynamics, and environmental correlates of diseases. RS is gathering digital images of the earth's surface from airborne or satellite platforms and transforming them into maps. GIS is a data management system that organizes and displays digital map data from RS or other sources and facilitates the analysis of relationships between mapped features. Statistical relationships often exist between mapped features and diseases in natural host or human populations.

Examples include malaria and dengue fever in The Caribbean and Central America. RS and GIS may also permit assessment of human risk from many other pathogens. RS and GIS are most useful if disease dynamics and distributions are clearly related to mapped environmental variables. For example, if a disease is associated with certain vegetation types or physical characteristics (elevation, average precipitation), RS and GIS could identify regions where risk is relatively high.