Covariates Dataset for Malaria Prediction in Tanzania
tz_covariates.Rd
This dataset provides covariates over a 10 by 10 km regular grid covering Tanzania. It is intended to be used together with the `tz_malaria` dataset for spatial prediction of malaria prevalence.
- Population
Population density in the area (in thousands).
- ITN
Percentage of households with at least one insecticide-treated net (ITN).
- EVI
Enhanced Vegetation Index, indicating vegetation density.
- Temperature
Average temperature in degrees Celsius.
- NTL
Nighttime light intensity, indicating urbanization and infrastructure.
- Precipitation
Total precipitation in millimeters.
- utm_x
UTM (Universal Transverse Mercator) x-coordinate of the grid point.
- utm_y
UTM (Universal Transverse Mercator) y-coordinate of the grid point.
Usage
data(tz_covariates)
Source
Giorgi E, Fronterrè C, Macharia PM, Alegana VA, Snow RW, Diggle PJ. 2021 Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict. J. R. Soc. Interface 18: 20210104. https://doi.org/10.1098/rsif.2021.0104