Geographic Information System and Remote Sensing Based Malaria Risk Mapping: A Case of shone town administration, Southern Nations Nationalities and Peoples’ Regional State
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Date
2016-06
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Addis Abeba University
Abstract
Malaria is avector born disease that is arisk in sub Saharan Africa and particularly in the East African valley. Billions of dollars has been invested in the development if its control measures, but it is still killing hundreds of thousands of people per year in developing countries. Malaria control requires the analysis of habitat of its vector (Anopheles sp). However, unknown spatial distribution of mosquito identified to cause malaria, eradication of parasite remains a difficult situation besides high resolution satellite imagery, fieldwork, malaria habitat was identification considering different factors. As a result, increased efforts and resources have been channeled towards finding ways of minimizing the disease. The purpose of this project was generating malaria risk map of Shone town administration of the Hadiya Zone, Southern Nations Nationalities and Peoples’ Regional State, by using GIS & RS techniques. The study also aimed at mapping malaria hazard areas, vulnerability map and at a risk map (considering LULU classification) to generate an output, malaria risk map. The hazard, malaria prevalence is mapped based on some of the environmental factors, computed using Multi Criteria Evaluation technique(MCE) .The final malaria hazard map of the study area shows that from the total area, it was estimated that(19.3%),(27.58%);(16.6%),(16.9%)and(12.86%) of the study area were subjected to very high, high, moderate, low and very low malaria hazard area respectively. Thus, Hazard, vulnerability (health facilities location) and for risk element (LU/LC supervised classification) were overlaid using ArcGIS 10.1 desktop to develop malaria risk zone mapping. The final output based on this approach is malaria risk map, produced from overlay analysis showed that (35.12%) in high, (21.11%) moderate; and (16.23%) low level of malaria risk;(18.53%),in very high and (7.43%) very low malaria risk area coverage.In other words, according to the result of the findings large area of the town is located in high risk area of malaria. Geographic Information System and Remote Sensing technology as a tool can provide information timely, with the intention that, decision makers get a hold ready to make better and faster assessments in resource efficient and cost effective way giving a consideration in the risky areas in Shone town Administration.
Key Words: GIS,Remote Sensing, Malaria, MCE , Remote Sensing, Risk map, weighted overla
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Keywords
GIS, Remote Sensing, Malaria, Risk Map, Weighted Overla