TABLE 6.

Diagnostic parameters for the multiplex qPCR assay assessed by Bayesian Latent class analysis^§.

Parameters	Median (95%CI)
Prevalence	14.9(12.3−17.8)
Test A
DSe	59.6(49.6−68.8)
DSp	96.2(94.4−97.6)
PPV	73.2(63.0−82.1)
NPV	93.1(91.0−95.0)
Test B
DSe	99.8(97.7−100)
DSp	100(99.6−100)
PPV	99.8(97.6−100)
NPV	100(99.6−100)
Test C
DSe	99.8(97.6−100)
DSp	100(99.6−100)
PPV	99.8(97.5−100)
NPV	100(99.6−100)

^§The model described by Lim et al. (2013) and available online at http://mice.tropmedres.ac/publication.aspx was implemented. DSe: diagnostic sensitivity, DSp: diagnostic specificity, PPV: positive predictive value, NPV negative predictive value, Test A: qPCR (Smythe et al., 2002), Test B: qPCR multiplex presented here, Test C: sequencing analysis of the amplification products obtained.