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. 2017 Apr 4;12(4):e0174948. doi: 10.1371/journal.pone.0174948

Table 4. Posterior estimates for the effect of environmental, intervention, socio-economic factors.

Variable Parasitaemia prevalence (%) Model 1 Model 2††
OR (95% BCI) OR (95% BCI)
Land cover
Forest 17.8 1.0 1.0
Crops 27.2 2.12 (1.25, 2.29)* 1.35 (1.17, 1.42)*
Others 10.0 0.56 (0.39, 0.73)* 0.59 (0.44, 0.71)*
Land surface temperature (Day)
< = 31.4 11.7 1.0 1.0
31.4–33.8 19.7 1.98 (1.69, 2.52)* 2.87 (2.42, 3.08)*
> = 33.8 26.6 3.19 (2.83, 3.85)* 1.98 (1.68, 2.01)*
Land surface temperature (Night) - 1.75 (1.64, 1.82)* 1.25 (1.17, 1.26)*
Area type
Urban 6.0 1.0 1.0
Rural 21.6 6.25 (5.62, 8.60)* 2.06 (1.96, 2.19)*
Wealth Index
Poorest 27.7 1.0
Poorer 21.1 0.86 (0.72, 1.04)
Middle 20.8 0.77 (0.85, 1.15)
Richer 11.9 0.52 (0.42, 0.61)*
Richest 3.3 0.19 (0.14, 0.27)*
ITN ownership
Proportion of population with access to an ITN in their households 0.78 (0.67, 0.89)*
ITN use
Proportion of ITNs used the previous night 1.68 (1.52, 1.77)*
Indoor Residual Spraying
Not sprayed 21.0 1.0
Sprayed 5.0 0.22 (0.14, 0.42)*
Case management
Proportion of fevers treated with ACTs 1.29 (1.00, 1.38)
Age (months)
< = 12 9.6 1.0
13–24 16.1 2.16 (1.85, 2.41)*
25–36 22.5 3.67 (3.08, 4.16)*
37–48 23.1 3.54 (2.83, 3.83)*
49–59 26.0 4.77 (4.47, 5.97)*
Mother’s education
None 26.4 1.0
Primary 17.8 0.85 (0.74, 0.89)*
Post primary 8.2 0.57 (0.57, 0.67)*
Variances
Gaussian process 0.45 (0.40, 0.48) 0.77 (0.62, 0.80)
Range (km) 52.2 (33.9, 69.5) 47.7 (40.7, 56.4)

Only climatic factors

††Intervention + climatic + SES + demographic

*Statistically important