Table 1.
Independent variables and categorization.
Table 2.
Socio-demographic and socio-economic characteristics of study participants, EDHS 2016 (N = 4145).
Table 3.
Binary multilevel logistic regression analysis to determine associated factors of unsafe child stool disposal in Ethiopia, EDHS 2016.
Fig 1.
Hotspot and cold spot analysis using Getis-Ord Gi statistics of unsafe child stool disposal in Ethiopia: A single dot on the map represents one enumeration area, EDHS 2016.
Source: Shapefile of the map was freely available from https://africaopendata.org/dataset/ethiopia-shapefiles.
Fig 2.
Ordinary kriging interpolation of unsafe child stool disposal in Ethiopia, EDHS 2016.
Source: Shapefile of the map was freely available from https://africaopendata.org/dataset/ethiopia-shapefiles.
Fig 3.
The spatial clustering of areas with high unsafe child stool disposal in Ethiopia, EDHS 2016.
Source: Shapefile of the map was freely available from https://africaopendata.org/dataset/ethiopia-shapefiles.
Table 4.
Significant and most likely clusters spatial clusters of unsafe child stool disposal in Ethiopia, EDHS 2016.
Fig 4.
The exploratory visualization of the spatial distribution diarrhea and unsafe child stool disposal.
(a) map at upper section showed the spatial distribution diarrhea (b) map at lower section showed the spatial distribution of unsafe child stool disposal, EDHS 2016. Source: Shapefile of the map was freely available from https://africaopendata.org/dataset/ethiopia-shapefiles.
Table 5.
Measures of variation (random intercept models) and model fit statistics for unsafe child stool disposal in Ethiopia, EDHS 2016.
Table 6.
Multivariable multilevel logistic regression analysis to determine associated factors of unsafe child stool disposal in Ethiopia, EDHS 2016.