A study on silicosis among employees of a silica processing factory in the Central Province of Sri Lanka
Bibliographic record
Abstract
OBJECTIVES: The silica industry is rapidly expanding in Sri Lanka. The main objective of this study was to assess the prevalence of silicosis among workers exposed to silica dust, and to describe the disease pattern of the affected. We also screened the affected workers for tuberculosis. METHODS: Employees of a silica factory (n=250) were screened using a questionnaire. Details of duration of silica exposure and work category within the industry were recorded. All symptomatic workers were investigated with chest radiography and screened for tuberculosis. International Labour Organisation criteria for diagnosis of silicosis were used for diagnosis. RESULTS: Of the 250 employees 25 (10%) had respiratory symptoms. Chest radiographs of 14 workers (5.6%) showed abnormalities diagnostic of silicosis. The mean age of the affected workers was 29 years. One worker had radiological changes suggestive of progressive massive fibrosis. Of 14 patients, 13 had duration of exposure less than 10 years suggestive of accelerated silicosis. Among the 14 workers diagnosed with silicosis five (35.7%) had Mantoux induration of more than 10 mm suggestive of latent tuberculesis. CONCLUSIONS: Silica workers at the investigated industrial facility are at a significant risk of developing accelerated silicosis. Prevalence of infection with mycobacteria was high. Education of workers, improvement of protective measures and regular monitoring of the work environment should be undertaken to avert this deadly disease.
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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".