Additional file 2: Table S1. of Strongyloides stercoralis and hookworm co-infection: spatial distribution and determinants in Preah Vihear Province, Cambodia

Results of the variable selection using bivariate multinomial regressions. Data were obtained from a cross-sectional survey conducted in 2010 in 60 villages of Preah Vihear Province, North Cambodia, among 2502 participants aged 2 years and above. (DOCX 26 kb

Smoothed age-prevalence and intensity curves of hookworm infection, Champasack province, southern Lao PDR.

<p>Data were obtained from a cross-sectional survey carried out among 3,371 participants in 51 villages of Champasack province in 2007. Restricted cubic splines were used. For hookworm prevalence data are stratified for males (A) and females (B). For intensity of infection, only participants with an infection were included and data are presented separately for males (C) and females (D). Uncertainty is expressed as 95% confidence interval (CI).</p

Maps of predicted hookworm prevalence (A), elevation (B), predicted hookworm infection intensity (C), and road network (D) in Champasack province, southern Lao PDR.

<p>Predictions were based on the non-spatial mixed effects logistic (prevalence) and NB (infection intensity) models using environmental covariates only.</p

Risk factors for infection with <i>S</i>. <i>stercoralis</i> at baseline and follow-up.

<p>Risk factors for infection with <i>S</i>. <i>stercoralis</i> at baseline and follow-up.</p

Uncertainty of hookworm predictions in Champasack province, southern Lao PDR.

<p>Lower estimates (2.5% CL) of hookworm predicted risk (A) and infection intensity (C). Upper estimates (97.5% CL) of hookworm predicted risk (B) and infection intensity (D). CL, credible limit.</p

Parameters for the non-spatial and geostatistical logistic and NB models without covariates.

<p>Parasitological data were obtained from a cross-sectional survey carried out among 3,371 participants in 51 villages of Champasack province in 2007.</p><p>CI, credible interval</p><p>Prevalence models: Bayesian geostatistical logistic model (spatial model) and Bayesian model with an exchangeable random effect (non-spatial model)</p><p>Intensity models: Bayesian geostatistical NB model (spatial model) and Bayesian NB model with an exchangeable random effect (non-spatial model)</p><p>^a σ² is the location-specific unexplained variance</p><p>^b ρ is the decay parameter</p><p>^c The range (range = 3/ρ) is the distance at which the spatial correlation becomes less than 5%</p><p>^d r is the dispersion parameter from the negative binomial distribution that quantifies the amount of extra-Poisson variation</p><p>^e Deviance information criterion.</p><p>Parameters for the non-spatial and geostatistical logistic and NB models without covariates.</p

Predicted risk of <i>S</i>. <i>stercoralis</i> infection risk at follow-up by village sanitation coverage level and defecation place.

<p>Data were obtained from longitudinal surveys carried out among 1,269 participants at follow-up in eight villages of Preah Vihear province, Cambodia, between 2013 and 2014. The prediction was adjusted for sex, age, level of education, occupation, shoe wearing, hand washing after defecating and infection status at baseline.</p

Additional file 3: Table S2. of Strongyloides stercoralis and hookworm co-infection: spatial distribution and determinants in Preah Vihear Province, Cambodia

Results of model validation for predictive models. (DOCX 12 kb

Characteristics of 3,371 study participants from Champasack province, southern Lao PDR in 2007.

<p>Characteristics of 3,371 study participants from Champasack province, southern Lao PDR in 2007.</p

Smoothed age-intensity curve for hookworm infection intensity according to village-level prevalence, Champasack province, southern Lao PDR.

<p>Data were obtained from a cross-sectional survey carried out among 3,371 participants in 51 villages of Champasack province in 2007. The smoothed age-intensity curve is based on a restricted cubic spline of hookworm infection intensity at the unit of the village.</p