Vaccine coverage against polio myelitis in the city of Fraiburgo - Santa Catarina and its importance for the health of the population
Bibliographic record
Abstract
Poliomyelitis is an acute contagious viral disease that can affect children and adults, causing sequelae, especially in the most severe cases. There is no specific treatment, but prevention is extremely important. The study was exploratory in nature, through a literature review based on references published in Scielo, Google Scholar and VHL. Using a qualitative, descriptive and exploratory methodology, the aim was to educate the population of the Vila Salete Basic Health Unit (BHU) in the municipality of Fraiburgo, SC, about the importance of polio vaccination, as well as the consequences of the disease, given that vaccination coverage at the BHU and in the municipality is below the parameters set by the Ministry of Health (MoH). The extension activities to achieve this goal included guidance at the aforementioned UBS, involving family members who accompanied the children to appointments, on Wednesdays during October 2022, and reinforcing the information through an information folder at the 1st MED DAY, in Fraiburgo, on November 5, 2022. The conclusion is that the population is unaware of the seriousness of this disease, and several diseases that used to hit the population very aggressively can now be considered eradicated, such as polio if we achieve good vaccination coverage.
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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 | 0.004 |
| 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 | 0.000 |
| 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".