A Food Poisoning Outbreak Caused by Shigella in Al-Mafraq, Jordan, in 2019
Bibliographic record
Abstract
Background On October 6, 2019, 55 residents of Bala'ama town in Al-Mafraq, Jordan, were admitted to the local health care center with symptoms of food poisoning. Objective This study aimed to identify the cause of the food poisoning outbreak. Methods This descriptive study is a cross-sectional study. Data were obtained from the Directorate of Communicable Diseases in the Ministry of Health. A total of 25 stool samples from patients and an additional 2 samples from workers in the restaurant were collected and tested. An environmental survey of the food and water was also conducted. Results The period of the outbreak was from October 6 to 10, 2019. The highest proportion of patients were children under 5 years of age. More females than males were affected. Stool test results were positive for Shigella sonnei in 15 samples and rotavirus in 7 samples. Chloride concentration was 0 in the water samples. Conclusions The food poisoning outbreak was caused by consumption of hummus from a neighborhood restaurant, which was contaminated with S. sonnei.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".