Multivariable association of different factors with <i>T</i>. <i>trichiura</i> infection in Kyela.

<p>Results of multivariable Poisson regression models adjusted for household clustering using robust variance estimates (N = 912). Multivariable results are only shown for those variables that were included into the respective model.</p

<i>T</i>. <i>trichiura</i> prevalence by age.

<p>The red line shows LOWESS-smoothed <i>T</i>. <i>trichiura</i> infection prevalence, grey bars indicate the number of participants in each age stratum.</p

Location of the EMINI study area.

<p>The study area consists of nine distinct study sites. Participating household are shown as red circles.</p

Spatial autocorrelation of <i>T</i>. <i>trichiura</i> infection between and within households in Kyela.

<p>The red line shows Moran’s I of spatial autocorrelation for the raw data. The blue and green lines show the autocorrelation of deviance residuals for the models M1 and M2, respectively. The horizontal axis shows the distance bands between households.</p

Characteristics of the study population and environmental conditions at their place of residence.

<p>Characteristics of the study population and environmental conditions at their place of residence.</p

Prevalence of <i>T</i>. <i>trichiura</i> infection in the nine EMINI study sites in Mbeya region, Tanzania (A) and details for Kyela site (B).

<p>Households with at least one infected person are represented by red Voronoi polygons, households without are shown in green. Subsite A and B in this text refer to the western and eastern part of Kyela, respectively.</p

Univariable association of different factors with <i>T</i>. <i>trichiura</i> infection in Kyela.

<p>Results of univariable Poisson regression models adjusted for household clustering using robust variance estimates (N = 912).</p

Hookworm prevalence in the EMINI study sites (Mbeya region, Tanzania, 2008/2009).

<p>Color shading of Voronoi polygons drawn around each household indicates household prevalence, labels indicate site name and site prevalence.</p

Linear predictions of hookworm infection probabilities for population density, EVI, and latrine coverage.

<p>According to the site-specific models for Kyela and Itaka, adjusted for all variables shown in the site-specific models in <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0002408#pntd-0002408-t003" target="_blank">Table 3</a>.</p

Characteristics of study participants and environmental conditions at their places of residence in Kyela and Itaka site.

<p>IQR = inter-quartile range; EPG = eggs per gram of feces; EVI = enhanced vegetation index; LST = land surface temperature; N = number of observations; SES = socio-economic status.</p>*<p>Median for continuous and proportion in percent for binary variables; IQR, minimum and maximum values are not given for binary variables.</p>†<p>According to Montresor 1998 <a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0002408#pntd.0002408-Montresor1" target="_blank">[21]</a>.</p