Tuberculosis among nomads in Adamawa, Nigeria: outcomes from two years of active case finding
Bibliographic record
Abstract
BACKGROUND: Nomadic populations are often isolated and have difficulty accessing health care, leading to increased morbidity and mortality. Although Nigeria has one of the highest tuberculosis (TB) burdens in Africa, case detection rates remain relatively low. METHODS: Active case finding for TB among nomadic populations was implemented over a 2-year period in Adamawa State. A total of 378 community screening days were organised with local leaders; community volunteers provided treatment support. Xpert(®) MTB/RIF was available for nomads with negative smear results. RESULTS: Through active case finding, 96 376 nomads were verbally screened, yielding 1310 bacteriologically positive patients. The number of patients submitting sputum for smear microscopy statewide increased by 112% compared with the 2 years before the intervention. New smear-positive notifications increased by 49.5%, while notifications of all forms of TB increased by 24.5% compared with expected notifications based on historical trends. Nomads accounted for respectively 31.4% and 26.0% of all smear-positive and all forms TB notifications. Pre-treatment loss to follow-up and treatment outcomes were similar among nomads and non-nomads. DISCUSSION: Nomads in Nigeria have high TB rates, and active case-finding approaches may be useful in identifying and successfully treating them. Large-scale interventions in vulnerable populations can improve TB case detection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".