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. 2020 Dec;10(4):304–314. doi: 10.2991/jegh.k.200814.001

Table 1.

Climate and environmental covariates, and their definitions

Covariate Data sources Definition
Enhanced Vegetation Index (EVI) Nigeria Demographic and Health Survey (NDHS) Spatial Analysis data The average vegetation index value within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster at the time of measurement (year). The enhanced vegetation index was calculated by measuring the density of green leaves in the near-infrared and visible bands.
Proximity to waters (Coast/Large Lakes) NDHS Spatial Analysis data Straight-line distance to the nearest major water body. Based on the World Vector Shorelines, CIA World Data Bank II, and Atlas of the Cryosphere.
Population density NDHS Spatial Analysis data Estimates of human population density is the number of persons/km2 based on counts consistent with national censuses and population registers.
Precipitation NDHS Spatial Analysis data The average precipitation measured within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS survey cluster each year.
Travel time to nearest settlement >50,000 inhabitants NDHS Spatial Analysis data The average time (min) required to reach a high-density urban center from the area within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster location, based on year 2015 infrastructure data.
Minimum temperature NDHS Spatial Analysis data The average annual maximum temperature within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster location. The maximum temperature is calculated from the modeled mean temperature and the modeled diurnal temperature range.
Maximum temperature NDHS Spatial Analysis data The average annual minimum temperature within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster location. The minimum temperature is calculated from the modeled mean temperature and the modeled diurnal temperature range.
Potential Evapotranspiration (PET) NDHS Spatial Analysis data The average annual PET within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster location, synthetic measurement that was calculated using a variation of the Penman–Monteith formula.
Cluster altitude NDHS Spatial Analysis Measure of surface altitude (m). The data were interpolated using a thin plate smoothing spline algorithm with altitude, longitude and latitude as independent variables.
Wet days NDHS Spatial Analysis data The average number of days receiving rainfall within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS cluster location. It combines the number of observed days with rainfall from weather stations with the number of days that should have received rainfall.
Urban–rural settlement NDHS Spatial Analysis data This is urban–rural population classification of the area within the 2 km (urban) or 10 km (rural) buffer surrounding the DHS survey cluster location. It is the representation of the degree of urbanization concept obtained using urban-rural settlement classification model adopted by the Global Human Settlement Layer (GHSL) project.