Inmunización y enfermedad cardiovascular en América Latina. El estudio CorVacc: fundamento y diseño
Bibliographic record
Abstract
OBJECTIVES: To determine the rates of vaccination against influenza and pneumococcal disease in the general population of the Americas, both healthy and sick, and to analyze the factors influencing these rates. METHODS: The Inter-American Vaccination Registry of Influenza and Pneumococcus, (CorVacc Study) is a cross-sectional survey of the general population that will be enacted in 19 Latin American countries. A total of 34 questions will be given to consecutive patients aged 18 years or older through an online survey. RESULTS: The data will be analyzed by country and region according to seven clusters: demographics, socioeconomic and educational level, cardiometabolic profile, cardiovascular interventions, medical follow-up and treatments, and COVID-19 vaccination status. The study will be conducted by the Prevention Council of the Inter-American Society of Cardiology. CONCLUSIONS: This study will provide insight into the impact of influenza and pneumococcus vaccinations in Latin American populations and the barriers preventing the immunization targets from being actualized. Hopefully, this will help to facilitate the development of targeted and focused health prevention strategies.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".