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In the past decade, the role of GIS is enormous in managing spatial and non-spatial data for making effective decision regarding risk in different tropical diseases. Lack of geo-referenced data on malaria breeding sites for assessing malaria risk in an area is one of the gaps on the health sectors. This book, therefore, provides an important pieces of information on addressing the risk assessment of tropical diseases like malaria by the help of spatial model in GIS environment. The three distinct, parameters of risk model described herein.