Output from Bayesian LCA showing mean estimate and the 95% Bayesian credible interval.

<p>Sensitivity and specificity and infection prevalence were estimated from the model while all other parameters were estimated from these posterior distributions using the equations described in the methods. The column on the right shows the estimate of the difference between the Côte d’Ivoire and Uganda estimates.</p

Bar chart showing the proportion of children tested in each country with specified test results.

<p>For example, ‘pos/pos’ denotes the proportion of children in each country testing positive for both tests, and ‘pos/tr’ denotes the proportion of children in each country testing positive by Kato-Katz and trace by CCA. Note that the bar showing the proportion of children negative on both tests (75% in Côte d’Ivoire and 76% in Uganda) has been removed from the graph to enable easier comparison of non-negative results.</p

Bar chart showing the proportion of children tested in each country with specified test results.

<p>For example, ‘pos/pos’ denotes the proportion of children in each country testing positive for both tests, and ‘pos/tr’ denotes the proportion of children in each country testing positive by Kato-Katz and trace by CCA. Note that the bar showing the proportion of children negative on both tests (75% in Côte d’Ivoire and 76% in Uganda) has been removed from the graph to enable easier comparison of non-negative results.</p

Summary statistics for Côte d’Ivoire and Uganda.

<p>KK denotes Kato-Katz.</p

Plots showing the posterior distributions of sensitivity (left) and specificity (right) of each test in Côte d’Ivoire (blue) and Uganda (green) estimated from a Bayesian Latent Class Analysis.

<p>Note that the x-axis for the specificity has been truncated to begin at 80% to enable easier comparison between tests.</p