A Study on the Possible Link of Brucellosis to Increased Stillbirths in the Maltese Islands from 1919 to 1954
Bibliographic record
Abstract
ABSTRACT Background Human brucellosis, otherwise known as undulant fever, is one of the most widespread zoonotic diseases in the world. Even though 9%–15% of stillbirths are known to be caused by infectious diseases, the study of the link between human Brucella melitensis and the termination of births in humans is a topic that has received little attention. This study examines if there was an association between infection of undulant fever, an endemic zoonotic disease in the Maltese Islands from 1919 until 1954, and reproductive loss through stillbirths. Methods A univariate descriptive analysis was used to show the temporal trend of undulant fever time, as well as the age and sex distribution. Time series analysis was used to assess the relationship between time (months) and undulant fever cases with stillbirth proportions. Results On the island of Gozo, the majority of undulant fever cases for both males and females occurred in their reproductive period between 15 and 45 years of age. Based on regression analysis, undulant fever had a statistically significant effect on the stillbirth rate for males (t = 2.8986, p = 0.0039). The effect of undulant fever on stillbirths was not significant for females (p = 0.9103). Conclusion This paper highlights the importance of undulant fever as having implications for the health burden in pregnant women and potential fetal loss through stillbirths in the contemporary context.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".