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

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

Impact of land use pattern on malarial dimensions
Land use Epidemiology Socio-economic factors Geographical features
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 +++ +++ ++ +++ +++ +
  1. Extent of Impact: +++ = High, ++ = Medium, + = Low, 0 = None, - = Negative.
  2. 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.
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