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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.

Usage

data(tz_covariates)

Format

A data frame with 8740 observations of 8 variables:

  • 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.

The CRS of the UTM coordinates is 32736.

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