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Table 1 Model parameters

From: Prevalence and under-detection of gambiense human African trypanosomiasis during mass screening sessions in Uganda and Sudan

Parameter

Symbol

Values

Source/Notes

Village population size

N

Variable

Data

Screening coverage (%)

c

Variable

Data

Relative probability of attending screening (cases versus non-cases)

ρ

Project

Estimate (95% percentiles)

Prediction of step 1 of model. Random values for each iteration sampled from squared deviance distributions of ρ estimates.

Kiri

1.6 (0.7-12.8)

Adjumani

2.5 (1.2-36.6)

Arua-Yumbe

1.9 (0.9-4.0)

Probability that the next person screened is S1 or S2

pS1, pS2

from 0 to 1

Updated after each ith person screened. See Equations 4 and 5.

Ratio of observed prevalence at coverage c to observed prevalence at coverage = 100%.

βc

Computed for various values of c, and for each MSF project as a whole.

Data and model predictions. See Equation 1 and text.

Diagnostic accuracy

 

Algorithm

Mode (range)

Random values sampled from the likelihood distributions generated by Checchi et al. [13] based on a probabilistic decision model (one random value generated for each iteration). Values for the new Kiri algorithm apply to all screenings conducted since March 2005 (n = 17).

Diagnostic sensitivity in stage 1 (%)

σ1

Kiri (old)

98.0 (83.1-99.5)

Kiri (new)

57.4 (41.2-78.2)

Adjumani

97.9 (74.1-99.2)

Arua-Yumbe

96.5 (74.6-98.8)

Diagnostic sensitivity in stage 2 (%)

σ2

Kiri (old)

98.0 (83.5-99.6)

Kiri (new)

67.5 (53.6-84.0)

Adjumani

97.5 (75.1-99.4)

Arua-Yumbe

97.7 (75.0-99.3)

Diagnostic specificity (%)

φ

Kiri (old)

100.0 (99.8- 100.0)

Kiri (new)

100.0 (99.95-100.0)

Adjumani

100.0 (99.8-100.0)

Arua-Yumbe

100.0 (99.8-100.0)

Probability of being correctly classified into stage 1 (%)

σ*1

Kiri (old)

67.7 (38.5-86.8)

Kiri (new)

66.0 (39.0-87.2)

Adjumani

70.4 (39.1-88.6)

Arua-Yumbe

66.1 (39.2-88.5)

Probability of being correctly classified into stage 2 (%)

σ*2

Kiri (old)

94.7 (82.1-98.6)

Kiri (new)

95.1 (81.4-98.4)

Adjumani

94.0 (78.7-98.2)

Arua-Yumbe

93.1 (78.7-98.2)

Probability that a false positive case will be classified into stage 1 (%)

ω

Kiri (old)

0.0

Based on the algorithms used in these projects, false positives can only be classified as stage 2 [13].

Kiri (new)

0.0

Adjumani

0.0

Arua-Yumbe

0.0

Binary dummy variables

δ[…]

0 or 1

Denote occurrence of event in a given individual.