Malaria Risk Assessment using Gis and Remote Sensing: A Case of Kewet Woreda, North Shewa Zone, Amhara Region
| dc.contributor.advisor | Yeshaneh, Elleni (PhD) | |
| dc.contributor.author | Zewga, Mame | |
| dc.date.accessioned | 2018-07-03T06:15:40Z | |
| dc.date.accessioned | 2023-11-19T12:04:20Z | |
| dc.date.available | 2018-07-03T06:15:40Z | |
| dc.date.available | 2023-11-19T12:04:20Z | |
| dc.date.issued | 2016-06 | |
| dc.description.abstract | Malaria is grave and long lasting disease instigated by a protozoan parasite of the plasmodium species. It is the root cause for one million deaths annually throughout the world. From this, 90% of death is experienced by young children in South of the Sahara, in Africa. In Ethiopia, malaria is found in about 75% of the total area of the country and more than 68% of the total population is at risk of infection. The main objective of this study was to assess and map the risk of malaria using GIS and remote sensing in Kewet Woreda, North Shewa Zone, Amhara Region. For the last few years, the outbreak of malaria in the study area started to decrease. But still malaria was the top ten diseases which is the deep root cause for high morbidity and mortality in the Woreda. To assess and map the risk of malaria, nine determining factors included elevation, rain fall, wet land and swamp area, river, temperature, health center, slope, land use/cover and population density were selected. These factor maps were combined by using Weighted Multi Criteria Evaluation on IDRISI 17.0 environment. Multi criteria evaluation in GIS is focused on the allocation of land to suit for specific objective based on different attributes or factors. To assess the socio-economic aspect house hold survey was carried out. To do so, 137 respondents were systematically selected from five kebeles. Malaria risk map of the study area showed that there is no malaria risk free kebele within Kewet Woreda. Almost 3/4 of the areas fall in the very high (25%), high (45.4%), and moderate (22.9%) malaria risk levels and the remaining 6.7% of the area labeled as malaria free. Regarding the impact of malaria in the study area almost all respondents systematically selected from five kebeles indicated that their families were highly affected by malaria, and they use ITBN and insecticide spraying as coping mechanisms. GIS and remote sensing plays a great role in enhancing malaria risk zone mapping. Therefore, to minimize the risk of malaria in the area, the Woreda health office should use GIS and Remote sensing technology, could aware the people about the importance of drainage and effective use of ITBN, construct health center at very high and high risk area Key words: Malaria, GIS, Rs and MCE. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/5596 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Malaria | en_US |
| dc.subject | GIS | en_US |
| dc.subject | Rs and MCE | en_US |
| dc.title | Malaria Risk Assessment using Gis and Remote Sensing: A Case of Kewet Woreda, North Shewa Zone, Amhara Region | en_US |
| dc.type | Thesis | en_US |