Completeness of reporting and case ascertainment for neonatal tetanus in rural Pakistan
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to assess the case ascertainment and completeness of neonatal tetanus (NT) reporting and to estimate the incidence of NT in Dadu District, Pakistan. METHODS: We conducted active surveillance and hospital record reviews for suspected NT cases. We compared the cases of NT reported to the routine surveillance system with the cases identified through the hospital record reviews for 1993 through 2003. The two-source capture-recapture method was used to evaluate case ascertainment in the routine surveillance system and to estimate the incidence of cases of NT. RESULTS: Active surveillance and hospital record reviews identified 134 cases in addition to 274 cases in the routine surveillance system. The two-source capture-recapture method indicated that there would have been 463 cases during this period (95% confidence interval (CI)=418-508), representing an average annual incidence of 0.62 per 1000 live-births. The overall completeness of routine reporting was 59.2%. The proportions of cases reported were 68.1% for government hospitals and 53.8% for private reporting sites. CONCLUSIONS: Reporting of NT cases is incomplete. Active promotion of private sector participation, community involvement, and strengthening of the government sector as a way of improving NT reporting and surveillance is strongly suggested.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".