Skip to main content

Advertisement

Table 5 The distribution of LCA-estimated disease and test prevalence from 398 pupils in 8 schools. Infection prevalence estimates were calculated as a weighted average of the prevalence estimate in each school outputted from the Bayesian Latent Class Analysis (weighted for number of pupils sampled in each school). The distributions of estimated test prevalences were simulated from the observed prevalence using the binomial distribution. The estimated to infection prevalence gap shows the distribution of estimated infection prevalence minus estimated test prevalence. Separate models were run when CCA trace was considered as negative (left) or positive (right)

From: Latent class analysis to evaluate performance of point-of-care CCA for low-intensity Schistosoma mansoni infections in Burundi

  Trace negative (%) Trace positive (%)
Mean SD LBCI UBCI Mean SD LBCI UBCI
Infection prevalence 33.14 2.88 27.89 39.11 40.78 2.77 35.51 46.48
Estimated prevalence
 Kato-Katz in Burundi 6.79 1.21 4.52 9.30 6.76 1.20 4.52 9.05
 CCA in Burundi 21.15 1.95 17.34 24.87 53.58 2.30 49.00 58.04
 CCA in Leiden 28.39 2.07 24.37 32.41 30.69 2.06 26.63 34.93
 CAA in Leiden 46.50 2.22 42.21 50.89 46.46 2.23 42.21 50.75
Estimated - infection prevalence         
 Kato-Katz in Burundi -26.35 3.11 -32.72 -20.69 -34.02 3.04 -39.97 -27.96
 CCA in Burundi -11.99 3.51 -18.90 -5.31 12.80 3.56 5.63 19.44
 CCA in Leiden -4.75 3.52 -11.90 1.91 -10.09 3.46 -16.92 -3.40
 CAA in Leiden 13.36 3.66 6.06 20.41 5.68 3.49 -1.38 12.40
  1. Abbreviations: SD standard deviation, LBCI lower Bayesian 95% credible interval, UBCI upper Bayesian 95% credible interval