Tuberculosis Surveillance in Romania Among Vulnerable Risk Groups Between 2015 and 2017
Bibliographic record
Abstract
Purpose: Romania has the highest tuberculosis (TB) burden in the European Union/European Economic Area (EU/EEA) comprising almost a quarter (23.4%) of the reported patients in 2017, and a TB notification rate six times higher than the EU/EEA average. Although the overall TB notification rate in Romania declined from 154/100.000 individuals to 66/100.000 individuals in the general population between 2002 and 2017, TB notification rates remain high in certain vulnerable populations groups such as prisoners, the homeless population and among drug users. Patients and Methods: We conducted a descriptive study regarding TB monitoring data in Romania, including the aforementioned TB risk groups. Results: Analysis regarding notified TB cases among these risk groups indicates that TB rates are 7 to 18 times higher than in the general population. One of the most alarming aspects regards the exceedingly high proportion of HIV-seropositivity among drug users and the high mortality rates among the homeless population and among drug users with TB. Conclusion: This data underlines the importance of early identification among social risk groups using outreach active case-finding (ACF) activities, possibly combining TB screening with screening for other common, possibly life-threatening, co-morbidities for which an effective treatment is available. ACF could have a decisive role in TB control and eradication in Romania, when aimed at these high-risk groups.
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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 | 0.006 | 0.000 |
| 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 | 0.001 |
| 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".