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Volume 31, Number 3—March 2025
Research

Model-Based Analysis of Impact, Costs, and Cost-effectiveness of Tuberculosis Outbreak Investigations, United States

Sourya ShresthaComments to Author , Lucia Cilloni, Garrett R. Beeler Asay, J. Steve Kammerer, Kala Raz, Tambi Shaw, Martin Cilnis, Jonathan Wortham, Suzanne M. Marks, and David Dowdy
Author affiliation: Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA (S. Shrestha, L. Cilloni, D. Dowdy); Centers for Disease Control and Prevention, Atlanta, Georgia, USA (G.R.B. Asay, J.S. Kammerer, K. Raz, J. Wortham, S.M. Marks); California Department of Public Health, Richmond, California, USA (T. Shaw, M. Cilnis)

Main Article

Figure 2

Multivariate sensitivity analysis of the model parameters in study of impact, costs, and cost-effectiveness of TB outbreak investigations, United States. This graph illustrates sensitivity of the incremental cost-effectiveness ratio of TB outbreak investigation in the United States (cost in 2022 US$ per QALY gained, compared with no outbreak investigation) to the values of individual model parameters. Each pair of boxplots shows variation in the outcome when the analysis was limited to either simulations in which the value of the parameter of interest was in the top (red) or bottom (blue) decile of its values across all simulations. The edges of each box represent the lower and upper interquartile range, and the band in the middle represents the mean. The vertical dashed line shows the mean across all simulations ($27,800 per QALY gained, corresponding to the primary outcome). The numbers within parentheses represent the parameter range (up to 2 significant figures) for the top (red) or the bottom (blue) decile. IGRA, interferon-γ release assay; LTBI, latent TB infection; QALY, quality-adjusted life-years; R0, basic reproduction number; TB, tuberculosis.

Figure 2. Multivariate sensitivity analysis of the model parameters in study of impact, costs, and cost-effectiveness of TB outbreak investigations, United States. This graph illustrates sensitivity of the incremental cost-effectiveness ratio of TB outbreak investigation in the United States (cost in 2022 US$ per QALY gained, compared with no outbreak investigation) to the values of individual model parameters. Each pair of boxplots shows variation in the outcome when the analysis was limited to either simulations in which the value of the parameter of interest was in the top (red) or bottom (blue) decile of its values across all simulations. The edges of each box represent the lower and upper interquartile range, and the band in the middle represents the mean. The vertical dashed line shows the mean across all simulations ($27,800 per QALY gained, corresponding to the primary outcome). The numbers within parentheses represent the parameter range (up to 2 significant figures) for the top (red) or the bottom (blue) decile. IGRA, interferon-γ release assay; LTBI, latent TB infection; QALY, quality-adjusted life-years; R0, basic reproduction number; TB, tuberculosis.

Main Article

Page created: January 17, 2025
Page updated: February 28, 2025
Page reviewed: February 28, 2025
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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