Repository containing R code for cost-effectiveness of CXR and AI for TB in Nigeria
# Cost-effectiveness of CXR and AI for TB screening in Nigeria
This repository contains the code, data inputs, and outputs for a Tcost-effectiveness analysis of a TB screening intervention.
### π Associated Publications
**Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria**
_T.Garg, S.John et al._
Published in *PLOS Digital Health* (2025)
π Read the full paper here
**Comparing tuberculosis symptom screening to chest X-ray with artificial intelligence in an active case finding campaign in Northeast Nigeria**
_S.John, S.Abdulkarim et al._
Published in *BMC Global and Public Health* (2023)
π Read the full paper here
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## π Repository Structure
```
Costing-Nigeria-Analysis/
βββ Data/ # Input data files
β βββ cost_input.xlsx # Cost data
β βββ cost_input_sensitivity_analysis.xlsx # Cost data with CXR and AI options
β βββ tb_clinical.xlsx # Proportion of clinically dx TB in Nigeria
β βββ PaperTable3.xlsx # Outcome data from Table 3 of main paper
β βββ PaperTable3_subclinical.xlsx # Outcome data from Table 3 with subclinical TB
βββ Output/ # Output tables and figures
βββ Scripts/ # R Markdown analysis files
β βββ 0.batch_run_all_analyses.R # Batch script to run all Rmd files in sequence
β βββ 1.Costing Nigeria analysis.Rmd # Base case cost analysis
β βββ 2.Costing Nigeria analysis_with clinicaldx.Rmd # Includes clinical diagnosis scenario
β βββ 3.Costing Nigeria analysis_viz.Rmd # Visualization of base case results
β βββ 4.Costing Nigeria analysis_viz_clinicaldx.Rmd # Visualization for clinical diagnosis scenario
β βββ 5.Costi β¦