Table 4.
Geostatistical model 1 | Geostatistical model 2 | Geostatistical model 3 | |
---|---|---|---|
Variables | OR (95 % BCI) | OR (95 % BCI) | OR (95 % BCI) |
LSTN | 0.78 (0.69, 0.88) | 0.81 (0.72, 0.90) | 0.82 (0.72, 0.93) |
Rice field proximity | 0.49 (0.27, 0.81) | 0.56 (0.34, 0.98) | 0.73 (0.43, 0.99) |
No | 1.00 | 1.00 | 1.00 |
Yes | 0.49 (0.27, 0.81) | 0.56 (0.34, 0.98) | 0.73 (0.43, 0.99) |
Area type | |||
Urban | 1 | 1 | 1 |
Rural | 3.91 (2.88, 5.22) | 2.50 (1.89, 3.35) | 2.36 (1.79, 3.13) |
SES | |||
Most poor | 1 | 1 | |
Very poor | 0.76 (0.61, 0.95) | 0.77 (0.61, 0.96) | |
Poor | 0.90 (0.71, 1.14) | 0.92 (0.73, 1.16) | |
Less poor | 0.70 (0.55, 0.89) | 0.71 (0.56, 0.90) | |
Least poor | 0.32 (0.24, 0.43) | 0.33 (0.25, 0.45) | |
Age (years) | |||
0–1 | 1 | 1 | |
1–2 | 1.56 (1.23, 1.56) | 1.21 (0.95, 1.55) | |
2–3 | 1.72 (1.35, 2.21) | 1.71(1.33, 2.19) | |
3–4 | 1.88 (1.48, 2.41) | 1.87 (1.47, 2.39) | |
4–5 | 2.08 (1.62, 2.67) | 2.07 (1.61, 2.65) | |
Mother’s education | |||
No education | 1 | 1 | |
Primary | 1.08 (0.89, 1.31) | 0.85 (0.71, 1.03) | |
Secondary | 1.06 (0.74, 1.54) | 0.88 (0.61, 1.27) | |
Higher | 1.44 (0.29, 6.49) | 0.42 (0.05, 2.13) | |
Case management (ACT) | – | 1.45 (0.49, 4.21) | 0.13 (−1.49, 1.67) |
U5 sleep under net (ITNsU5) | – | 1.66 (0.89, 3.08) | 0.25 (−0.37, 0.90) |
House Spray (IRS) | – | 1.14 (0.17, 7.23) | 0.11 (−1.75, 1.70) |
Variances | |||
Gaussian process | 0.87 (0.66, 1.15) | 0.6 (0.44, 0.80) | 0.55(0.39, 073) |
Spatially varying ITNsU5 | 0.57 (0.38, 0.88)b | ||
Spatially varying IRS | 0.76 (0.42, 1.75)b | ||
Spatially varying ACT | 0.75 (0.42, 1.84)b | ||
Range (km)a | 10.61 (2.39, 20.82) | 3.00 (0.40, 10.00) | 2.70 (0.44, 9.75) |
Model 1 includes only climatic factors
Model 2 includes climatic factors, age, SES, intervention measures
Model 3 has spatially varying covariates for IRS, ACT and ITNsU5
aMinimum distance in kilometer at which the spatial correlation is lower than 5 %
bPosterior median