Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia

Parasites & Vectors

Table 4 Parameter estimates of non-spatial bivariate and Bayesian geostatistical logistic models with environmental and socio-economic predictors

	Bivariate non-spatial		Geostatistical model
	OR ^†	95% CI ^†	OR ^†	95% BCI ^†
*A. lumbricoides* infection
Survey period
Before 1995	1.00		1.00
1995 onwards	0.26	(0.24; 0.29)^*	0.94	(0.64; 1.42)
Precipitation wettest quarter (mm)
<350	1.00		1.00
350-400	1.42	(1.23; 1.66)^*	1.32	(0.56; 2.81)
≥400	12.25	(10.95; 13.70)^*	12.52	(5.05; 25.56)^*
			Median	95% BCI ^†
σ ² _sp			1.11	(0.72; 2.00)
Range (km)			9.2	(1.3; 63.0)
*T. trichiura* infection
Survey period
Before 1995	1.00		1.00
1995 onwards	0.33	(0.29; 0.37)^*	0.85	(0.55; 1.30)
Altitude	0.33	(0.31; 0.36)^*	0.37	(0.26; 0.56)^*
			Median	95% BCI ^†
σ ² _sp			1.29	(0.77; 2.23)
Range (km)			28.7	(3.2; 80.2)
Hookworm infection
Survey period
Before 1995	1.00		1.00
1995 onwards	0.45	(0.41; 0.50) ^*	0.72	(0.12; 4.19)
Minimum temperature coldest month	6.25	(5.81; 6.72)^*	11.35	(5.00; 22.20) ^*
			Median	95% BCI ^†
σ ² _sp			3.07	(1.50; 7.44)
Range (km)			128.4	(39.8; 387.5)

^†OR: odds ratio; 95% CI: lower and upper bound of a 95% confidence interval; 95% BCI: lower and upper bound of a 95% Bayesian credible interval.
^*Significant based on 95% CI or 95% BCI.

ISSN: 1756-3305