| 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 |
- 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.