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This paper presents a service related to epidemiologic monitoring providing a database of maps, synthetics graphs, and spatial-temporal information of a particular disease enriched with demographic data and urban georeferenced structure. The proposed service is to be used for Brazilian health agencies and the involved metropolitan authorities which will assist the health officers in the decision making process related to the epidemics monitoring and control. The development of the system and all its levels of integration bring some difficulties of syntactic, semantic, and performance order that we solve using a computational grid platform.
Date of Conference: Dec. 2006