Mapping malaria severity zones with Nigeriasat-1 incorporated into geographical information system |
| |
| Authors: | Ebenezer Yemi Ogunbadewa |
| |
| Institution: | 1. Remote Sensing/GIS Unit, Geography Department , Adekunle Ajasin University , Ondo-State , Akungba-Akoko , Nigeria ogunbadewa202@yahoo.com |
| |
| Abstract: | The aim of this study is to derive environmental factors that are likely to influence malarial distribution from Nigeriasat-1 in a geographical information systems (GIS) environment and relate it to the empirical evidence of reported malarial cases in the hospitals using discriminant analysis (DA) to characterize, identify and map malarial risk zones. It is found that using a stepwise DA, Nigeriasat-1 and GIS it is possible to classify the accurately the low malarial risk zone (100%), medium and high risk zones (83.33%), with an overall accuracy of 88.9% being achieved for the study area. The results obtained were in agreement with the ground validation exercise that was carried out and the cross validation method of ‘‘leaving-one-out’ in DA function. These findings indicate that Nigeriasat-1 and GIS combined with statistical technique of DA can be utilized as a decision support tool for a precise identification of the areas warranting mitigation efforts. |
| |
| Keywords: | mapping malaria severity zone Nigeriasat-1 GIS |
|
|
