SPOT-TB Trial: Aggregate Data from TB Active Case-Finding Camps in Pakistan

SPOT-TB Trial Dataset contains anonymized, aggregate data from a large pragmatic, stepped-wedge cluster randomized trial in 68 districts of Pakistan. The data was collected from tuberculosis active case-finding interventions called chest-camps and used for trial analysis and sample size calculations. The dataset was authored by Amna Mahfooz and last updated on 2026-05-20.

Use Cases

• Compare intervention effectiveness based on camp type (AI software vs. field teams)
• Analyze geographical targeting approaches for active case-finding
• Conduct sample size calculations for similar public health trials
• Study aggregate outcomes from TB chest-camp interventions

Strengths

• Data originates from a large pragmatic trial across 68 districts
• Dataset is 2.4 MB in size and available under a CC-BY-4.0 license
• Data is anonymized and aggregate, likely protecting individual privacy

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is aggregated, limiting individual-level analysis

Provenance

Source

Amna Mahfooz via figshare

Collection Method

Collected from TB active case-finding interventions (chest-camps) as part of a stepped-wedge cluster randomized trial.

Freshness

Last updated 2026-05-20 08:37:28; freshness should be verified

Geography

68 districts of Pakistan