Spatial analysis and mapping of malaria risk areas using multi-criteria decision making in Didessa District, South West Ethiopia

Figures & data

Figure 1. Location map of the study area

Figure 2. Description map of study area. (a) Topographic structure of the study area. (b) Population density map. (c) Land use land cover map of the study area. (d) Spatial distributions of health institutions

Figure 3. General frame work of the research study

Table 1. Different types of data sources and their resolutions

No.		Variables		Data type		Resolution		Data source
1		Elevation		Raster		30 m*30 m		USGS
2	Slope		Raster		30 m*30 m		Deriving from DEM
3	Temperature and rainfall		Raster		10 minutes		WorldClim
4	Landsat 8 2016 image		Raster		30 m*30 m		USGS
5	River		Vector		shape file		Ethio_Gis
6	Population density		Vector		shape file		CSA
7	Health institutions		Vector		shape file		GPS point
8	Study area boundary		vector		shape file		Ethio_Gis

Table 2. Saaty’s pairwise comparison table with 9 degrees

Intensity of importance	Definition of Explanation	Explanation
1	Equal importance two factors contribute equally to the objective	Two factors contribute equally to the objective
3	Somewhat more important	Experience and judgment slightly favour one over the other
5	Much more important	Experience and judgment strongly favour one over the other
7	Very much more important	Experience and judgment very strongly favour one over the other. Its importance is demonstrated in practice
9	Absolutely more important	The evidence favouring one over the other is of the highest possible validity
2, 4, 6, 8	Intermediate values	When compromise is needed

Table 3. Consistency index interpretation (Saaty & Vargas, 2001)

Consistency Index	Interpretation
0	Judgments are perfectly consistent
≤ 0.1	Consistent enough
≥ 0.1	Matrix needs improvement
≥ 0.9	Judgments are just about random and are completely untrustworthy

Figure 4. Malaria risk occurrence factors. (a) Temperature (b) Precipitation (c) Slope (d) Altitude (e) DTR (f) Population (g) Land use land cover (h) Proximity to health centers

Figure 5. Spatial malaria risk level distribution (a) Malaria hazard (b) Element at risk (c) Malaria risk

Figure A1. Malaria hazard AHP weight derivation

Figure A2. Modle results of malaria hazard risk factors weight description

Figure A3. Malaria risk map AHP weight derivation

Figure A4. Module results of overall malaria risk factors weight description

Saaty, T. L., & Vargas, L. G. (2001). Models, methods, concepts, and applications of the analytic hierarchy process. Kluwer Academic Publishers.

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