The impact of new tuberculosis diagnostics on transmission: why context matters
Hsien-Ho Lin, David Dowdy, Christopher Dye, Megan Murray & Ted Cohen
Volume 90, Number 10, October 2012, 739-747A
Table 2. Modes and value ranges for operational parameters investigated in the one-way sensitivity analysis in a study of the impact of new tuberculosis diagnostics on transmission
| Parameter | Lowa | Mode | Higha |
|---|---|---|---|
| Patient delay, HIV-negative (months) | 1.7 | 2.0 | 15.6 |
| Patient delay, HIV-positive (months) | 1.3 | 2.0 | 6.3 |
| Access to care (%) | 63 | 83 | 99 |
| Diagnostic default (%) | 1 | 5 | 18 |
| Sensitivity of existing diagnostic strategies for smear-negative cases (%) | 13 | 31 | 71 |
| Initial (i.e. post-diagnostic) default (%) | 1 | 23 | 29 |
| Treatment success rate (%) | 54 | 70 | 96 |
HIV, human immunodeficiency virus.
a The low and high values correspond to the 5th and 95th percentile values in the posterior distribution.
Note: The values were obtained from posterior distributions after the Bayesian melding procedure that calibrated the input parameters to the tuberculosis rates observed in the United Republic of Tanzania.