Vaccination against influenza among pregnant women in southern Brazil and associated factors
Bibliographic record
Abstract
This article aims to identify the prevalence and factors associated with influenza vaccination in pregnant women. This is a cross-sectional study conducted in a municipality in the southernmost region of Brazil, which included all women giving birth in 2016. The outcome was having received the vaccine against influenza during pregnancy. Sociodemographic, behavioral and prenatal care characteristics and morbidities were analyzed. The analysis included sample description, the prevalence of vaccination for each independent variable and a multivariate analysis. Two thousand six hundred ninety-four pregnant women were interviewed, of which 53.9% reported having been vaccinated. Factors associated with increased prevalence of vaccination were mother's higher schooling, prenatal care, tetanus vaccination and prenatal care performed in a public service. On the other hand, prenatal care onset after the first quarter reduced the prevalence of vaccination. The results point to the need to reinforce the importance of vaccination against influenza among pregnant women and among health professionals, regardless of the severity of the current epidemiological setting.
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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 | 0.001 | 0.003 |
| 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) | 0.001 | 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".