This project utilizes a village-level approach to investigate the risk of malaria occurrence in Bancoumana, Mali (West Africa). We developed a database of housing compound and mosquito breeding site locations through the use of DGPS. This database was combined with parasitologic and clinical parameters to facilitate the design and implementation of a surveillance program. In addition to utilizing GIS as a descriptive tool we incorporated spatial statistical techniques into the analysis of our data. Testing of hypotheses about spatial and temporal trends in malaria occurrence and transmission was accomplished using ArcView GIS, SPLUS, and CLUSTER software packages.