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Table 4 Error statistics for comparison of P. falciparum populations at risk (PAR) derived from spatial population datasets versus detailed census data.

From: The effects of spatial population dataset choice on estimates of population at risk of disease

  LandScan GPW GRUMP UNEP
  RMSE CCC RMSE CCC RMSE CCC RMSE CCC
Mali 83908 0.9997984 128802 0.9995382 58910 0.9999026 115777 0.999629
Namibia 24868 0.997234 30581 0.9956934 43900 0.9907193 33615 0.9949944
Tanzania 4340872 0.87304 4106729 0.8929462 3514209 0.9195392 4718404 0.8530245
  1. Root mean square error (RMSE) and concordance correlation coefficient (CCC) [33] statistics are shown for comparison of P. falciparum PAR estimates derived from the four spatial population datasets against the estimates derived from the detailed census data for three countries. The lowest RMSEs and highest CCCs for each country are in bold. Here, the spatial population datasets were adjusted to ensure that national population totals matched those provided by the UN [22]. GPW = Gridded Population of the World, GRUMP = Global Rural Urban Mapping Project, UNEP = United Nations Environment Programme Global Population Databases.