Mapping Areas of Malaria Risk in Ile-Ife Using Geo-Spatial Techniques
This study aimed at showing areas at the risk of malaria through geo-spatial mapping techniques. GIS as a geo-spatial tool now enables link to spatial and non-spatial data to make for a wide range of display and analytical capabilities. The study was carried out in Ile-Ife, Osun state Nigeria where like other tropical settlements experiences very high, high, medium and low malaria risks. Unfortunately, studies in the past did not spatially display mosquito breeding sites as a precursor to the ravaging incidence of malaria in the identified housing layouts with maps. A high spatial resolution satellite image (Ikonos) was used in creating different thematic layers. Images were rectified and restored through processing of the Ikonos image data to correct geometric image distortions. Out of the various housing layouts, only 206 were sampled, delineated and mapped out within the sub-area of Ife central. Results are that there are high, medium and low housing densities with causative factors of malaria (mosquito breeding sites) being streams, open spaces and wetlands. The general planning of the area with regard to the housing layouts further highlights the fact that cases of mosquito infestation and malaria may have some correlation with housing densities. The result of the overlay analysis is that the study area experiences; medium high to very high prevalence rates of malaria. The risk of malaria is generally high hence the use of geo-spatial tools in mapping and predicting possible disease occurrence, the predisposing factors among others will strengthen the global fight against malaria.
Keywordsó Mosquitoes, malaria, geo-spatial, GIS, housing layouts, Ile-Ife.