Vulnerability Analysis and Malaria Risk Mapping in Awassa and Wondogenet Woredas
No Thumbnail Available
Date
2009-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa Universty
Abstract
Malaria is one of the high priority tropical diseases in Tropical Countries. Although, there have
been many efforts to eradicate malaria from the world over a long period of time, yet it remains a
complex disease. Among the efforts made so far, the main intervention area has been targeting at
the ecology of the Mosquito. This study is aimed at first mapping malaria hazard areas and then
the malaria risk areas at Awassa and Wondongenet Woredas. For mapping malaria hazard areas
five parameters were selected. The parameters include elevation, slope, distance from rivers,
distance from wetlands and drainage density. The elevation, slope, and river net works were
derived from SRTM satellite data and the wet land layer was extracted from land use/land cover
map. These layers were combined by using weighted multi criteria evaluation. Similarly, risk
map was developed depending on the malaria hazard layer, land use/land cover, distance from
health stations layer and population density layer of the study area. The landuse/ landcover layer
was obtained from Landsat ETM+ imagery of the year 2005. The resulting malaria hazard map
depicts that 184.7Km2, 76.3 Km2, 37.4 Km2, 26.9 Km2, and 24.1 Km2 representing 48.6%,
19.9%, 9.7%, 7%, and 6.3%, of the total area is subject to very high, high, moderate, low, and
very low level of malaria hazard. The remaining 32.0 Km2 (8.4%) of the total area is free from
malaria. Yuwa, Aruma, Edo, Busa, Chuko, Entaye, Kela, Wetera, Shasha Kakale, Gotu Anuma,
Abaye and Baja Fabrica kebeles were found to be under high malaria hazard. The risk map
produced from the overlay analysis of the four parameters also showed that 122Km2(32%),
117Km2(30.7%), 60Km2(15.7%), 31Km2(8.1%) 19Km2 (5%), and 32Km2(8.4%) of the total
area is subject to very high, high, moderate, low, very low and is free from malaria risk
respectively. Part of Abaye, Yuwo, Aruma, Tllu, Chefe Kotegebesa, Swampy area, Shashsa
Kakalo, Washa Soyama, and Gamato are subject to very high risk of malaria. In conclusion, 68%
of the total area is highly exposed to malaria hazard and more than 60% is under high risk of
malaria. It is also suggested that it will be cost effective and time as well as energy saving if the
results of this study will be incorporated into the ongoing malaria eradication programs.
Key words: GIS, Remote Sensing, MCE, malaria hazard, malaria risk
Description
Keywords
GIS, Remote Sensing, MCE, Malaria hazard, Malaria risk