|
Villages
|
Altitude (meters)
|
§ Catalytic model[5](1)
|
§ Superinfection model (2)
|
((2) – (1))*100 / (1)
|
% change in Std. Err.
|
Predicted EIR[18]
|
|---|
| | |
SCR (Std. Err.)
|
SCR (Std. Err.)
|
% change in SCR
| | |
|---|
|
Mgila
|
375
|
0.1228 (0.0139)
|
0.1451 (0.0116)
|
18
|
-17
|
39.1002
|
|
Kadando
|
528
|
0.0959 (0.0104)
|
0.1097 (0.0098)
|
14
|
-6
|
16.3467
|
|
Kambi ya Simba
|
746
|
0.0753 (0.0067)
|
0.0857 (0.0073)
|
14
|
6
|
4.7182
|
|
Ngulu
|
832
|
0.0869 (0.0077)
|
0.0980 (0.0080)
|
13
|
4
|
2.8899
|
|
Tamota
|
1055
|
0.0574 (0.0061)
|
0.0726 (0.0066)
|
26
|
8
|
0.8107
|
|
Goha
|
1163
|
0.0239 (0.0028)
|
0.0306 (0.0034)
|
28
|
24
|
0.438
|
|
Lambo
|
1188
|
0.0099 (0.0017)
|
0.0123 (0.0021)
|
25
|
24
|
0.3799
|
|
Funta
|
1240
|
0.1033 (0.0108)
|
0.1197 (0.0101)
|
16
|
-7
|
0.2824
|
|
Mpinji
|
1445
|
0.0065 (0.0012)
|
0.0083 (0.0015)
|
27
|
29
|
0.0878
|
|
Kilomeni
|
1556
|
0.0046 (0.0010)
|
0.0058 (0.0013)
|
27
|
27
|
0.0466
|
|
Kwadoe
|
1564
|
0.0071 (0.0015)
|
0.0092 (0.0019)
|
29
|
29
|
0.0445
|
|
Bwambo
|
1598
|
0.0041 (0.0009)
|
0.0054 (0.0012)
|
31
|
30
|
0.0367
|
|
Average
| | |
22
| | |
|
Reversion rate
|
0.0139 (0.0029)
|
0.0426 (0.0062)
| | | |
|
Duration in years
|
72
|
23
| | | |
- § The models were estimated using Stata software’s ml command; Standard errors were approximated to 4 decimal places but actual values were used in calculating the % change.
