Table 4 |
|||||||
|
Total population (in millions) at different risks of P. falciparum transmission in 2009 in Kenya |
|||||||
|
PfPR2-10 |
< 0.1% |
≥ 0.1 - <1.0% |
≥ 1.0 - <5.0% |
≥ 5.0-10.0% |
≥ 10.0 - <20.0% |
≥ 20.0 - <40.0% |
≥ 40.0 |
|
|
|||||||
|
Central |
4.30 |
0.04 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
|
Coast |
0.01 |
0.96 |
2.32 |
0.00 |
0.07 |
0.05 |
0.00 |
|
Eastern |
1.81 |
3.73 |
0.09 |
0.00 |
0.00 |
0.00 |
0.00 |
|
Nairobi |
5.51 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
|
North Eastern |
0.45 |
1.62 |
0.07 |
0.00 |
0.00 |
0.00 |
0.00 |
|
Nyanza |
0.00 |
0.43 |
2.17 |
0.00 |
0.01 |
0.61 |
2.22 |
|
Rift Valley |
2.68 |
5.19 |
2.13 |
0.00 |
0.02 |
0.01 |
0.01 |
|
Western |
0.00 |
0.00 |
1.70 |
0.00 |
0.03 |
0.43 |
2.10 |
|
|
|||||||
|
Total (%) |
14.77 (36.2) |
11.98 (29.4) |
8.48 (20.8) |
0.00 (0.0) |
0.13 (0.003) |
1.10 (0.03) |
4.33 (10.6) |
|
|
|||||||
|
Mean error is a measure of the bias of predictions (the overall tendency to over or under predict) whilst mean absolute error is a measure of overall precision (the average magnitude of error in individual predictions). |
|||||||
|
Noor et al. BMC Infectious Diseases 2009 9:180 doi:10.1186/1471-2334-9-180 |
|||||||