Socio-economic, epidemiological and geographic features based on GIS-integrated mapping to identify malarial hotspots

Table 4 Malarial hotspot identification: Classic case of consistent stakeholders and land use pattern

Impact of land use pattern on malarial dimensions
Land use	Epidemiology		Socio-economic factors				Geographical features
Land use	E1	E2	S1	S2	S3	S4	G1	G2	G3	G4	G5	G6
LU1	0	0	-	-	-	0	+	0	0	0	-	0
LU2	+++	+++	+++	+++	+++	++	++	+++	++	+++	+++	+++
LU3	++	+++	++	+	+	0	+	-	+	-	++	+++
LU4	+++	++	+	++	++	0	+	+	+++	+	+++	-
LU5	+++	++	+++	+++	+++	0	+++	+++	++	+++	+++	+

Extent of Impact: +++ = High, ++ = Medium, + = Low, 0 = None, - = Negative.
LU1 = Barren, LU2 = Settlements, LU3 = Terai, grasslands, LU4 = Aquatic Ecosystem, LU5 = Forests/Trees; E1 = API, E2 = Slide examination; S1 = Work Force, S2 = Population, S3 = Child Population, S4 = Literacy; G1 = Temperature, G2 = Rainfall G3 = RH, G4 = Water Bodies, G5 = Forest, G6 = Settlements.

ISSN: 1475-2875