<p>Parameters for DALY estimation.</p>

Modeling results from a 2026 study project the health impacts and cost-effectiveness of tuberculosis screening strategies in prisons. The dataset contains parameters for estimating Disability-Adjusted Life Years (DALYs) and costs for Brazil, Colombia, and Peru from 2026 to 2035. It was authored by Yiran E. Liu and published on figshare under a CC-BY-4.0 license.

Use Cases

• Compare the cost per DALY averted for different TB screening algorithms based on the described modeling results.
• Analyze the projected impact of entry, exit, and biannual screening on prison and population-level TB incidence.
• Model the cost-effectiveness of chest X-ray with CAD versus pooled GeneXpert Ultra screening in different country contexts.
• Evaluate the incremental benefit of adding symptom screening to CXR-CAD based on the described country-specific findings.

Strengths

• Parameters are derived from dynamic transmission models calibrated to three specific countries: Brazil, Colombia, and Peru.
• The study evaluates four distinct screening algorithms and multiple screening timepoints and frequencies.
• Cost and DALY projections are provided in a standardized currency (2023 US dollars).

Limitations

• The model's representation of tuberculosis disease states is simplified, as noted in the description.
• The dataset lacks stratification by age, gender/sex, HIV status, or drug resistance.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Parameters derived from dynamic transmission models for tuberculosis.

Time Range

Projections for 2026 to 2035.

Freshness

Last updated 2026-06-04 17:35:04; freshness should be verified.

Geography

Brazil, Colombia, Peru