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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.