Gis and Remote Sensing Integraterd Malria Risk Mapping in Dembia Woreda, Northern Ethiopia,

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Addis Ababa Universty


Every year, malaria continues to claim over a million lives around the globe. Attempts have been made to control the disease by eliminating the parasite. However, un known spatial distribution of mosquito known to cause malaria, eradication of the parasite remains a daunting task. As a result, increased efforts and resources have been channeled towards finding ways of minimizing the disease. There for this investigation is aimed to contribute the concept and methods of the innovative development and application of GIS and RS regarding malaria prevalence in Dembia Woreda. The input data are based on the geospatial factors including climatic aspects, social aspects and Topographic aspects from primary & secondary data. After words The malaria hazard analysis was computed using multi criteria evaluation (MCE). To run MCE, the selected environmental factors such as topographic factors (elevation, , and flow distance to stream, land use/ land cover and aquatic bodies were developed and weighted. Then weighted overlay technique was computed in ArcGIS9.1 Model Builder to generate malaria hazard map. For vulnerability analysis, health station location in Spatial Analyst/ module was used to generate factor maps. For element at risk, land use land cover map was used to generate element at risk map. To generate malaria risk map of the woreda, land use land cover map which is the element at risk in the woreda, the vulnerability map and the hazard map were overlaid using weighted overlay analysis technique in ArcGIS9.1 environment. The final out put based on this approach is a malaria risk map, which is classified in to 3 classes including, High-risk area, moderate risk area and low risk area. This help to plan valuable measures to be taken in early warning, monitor, control and prevent malaria epidemic



Gis and Remote Sensing