Every year, malaria continues to claim over a million lives around the globe. Attemptsrnhave been made to control the disease by eliminating the parasite. However, unrnknown spatial distribution of mosquito known to cause malaria, eradication of thernparasite remains a daunting task. As a result, increased efforts and resources havernbeen channeled towards finding ways of minimizing the disease. There for thisrninvestigation is aimed to contribute the concept and methods of the innovativerndevelopment and application of GIS and RS regarding malaria prevalence in DembiarnWoreda. The input data are based on the geospatial factors including climatic aspects,rnsocial aspects and Topographic aspects from primary & secondary data. After wordsrnThe malaria hazard analysis was computed using multi criteria evaluation (MCE). Tornrun MCE, the selected environmental factors such as topographic factors (elevation, ,rnand flow distance to stream, land use/ land cover and aquatic bodies were developedrnand weighted. Then weighted overlay technique was computed in ArcGIS9.1 ModelrnBuilder to generate malaria hazard map. For vulnerability analysis, health stationrnlocation in Spatial Analyst/ module was used to generate factor maps. For element atrnrisk, land use land cover map was used to generate element at risk map. To generaternmalaria risk map of the woreda, land use land cover map which is the element at riskrnin the woreda, the vulnerability map and the hazard map were overlaid using weightedrnoverlay analysis technique in ArcGIS9.1 environment. The final out put based on thisrnapproach is a malaria risk map, which is classified in to 3 classes including, High-riskrnarea, moderate risk area and low risk area. This help to plan valuable measures to berntaken in early warning, monitor, control and prevent malaria epidemic