Tuberculosis Screening Cost-Effectiveness in Latin American Prisons, 2026-2035

Modeling results from a 2026 study project the health impacts and cost-effectiveness of systematic tuberculosis screening in prisons in Brazil, Colombia, and Peru. The 9.5 KB Excel file contains outputs from dynamic transmission models comparing annual or biannual screening with different algorithms like CXR-CAD and GeneXpert Ultra. Author Yiran E. Liu published the data under a CC-BY-4.0 license on figshare.

Use Cases

• Compare the cost per DALY averted for different screening algorithms based on the described model outputs.
• Analyze the projected reduction in tuberculosis incidence within prisons and population-wide based on the simulation results.
• Evaluate the incremental benefit of adding entry and exit screening to biannual prison-wide screening based on the described cost-effectiveness metrics.

Strengths

• Model outputs are based on dynamic transmission models calibrated to three specific countries: Brazil, Colombia, and Peru.
• The study evaluates a clear time horizon from 2026 to 2035.
• Cost-effectiveness is reported in 2023 US dollars and Disability-Adjusted Life Years (DALYs).

Limitations

• The model's representation of tuberculosis disease states is simplified, and it lacks stratification by age, gender/sex, HIV, or drug resistance.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Outputs from dynamic transmission models simulating screening interventions.

Time Range

Projections for 2026-2035.

Freshness

Last updated 2026-06-04 17:35:03; freshness should be verified.

Geography

Brazil, Colombia, Peru