Two-stage lot quality assurance sampling framework for monitoring and evaluation of neglected tropical diseases, allowing for imperfect diagnostics and spatial heterogeneity
Fig 6
Impact of the diagnostic performance on program decision-making.
The contour lines illustrate the relationship between specificity (x-axis), the sensitivity (y-axis), and the minimum number of subjects per cluster nsub (contour lines) for adequate program decision-making (Eovertreat = 25% and Eundertreat = 5%) around a 2% program prevalence threshold for the number of clusters nclust equal to 5, 10, 15 and 20. We fixed the intra-cluster correlation ρi at 0.02 and the limits of the grey zone at 1% and 3%. All graphs are based on the same set of 10,000 Monte Carlo simulations.