Beliefs and attitudes of healthcare workers and community influencers toward COVID-19 and lifetime vaccines in Saint Vincent and the Grenadines
Bibliographic record
Abstract
The PAHO Subregional Programme Coordination Office, in partnership with Global Affairs Canada, launched a project aimed at social and behavioural change for vaccine uptake in Saint Vincent and the Grenadines. This project involved collecting qualitative data from healthcare providers and the public to identify obstacles to accepting lifetime vaccines inclusive of COVID-19. Moreover, over six weeks, health promotional activities were organized across nine health districts in Saint Vincent and the Grenadines, which resulted in the administration of 242 vaccinations. The findings from this project pointed to a need for training healthcare workers and local influencers in Risk Communication and Community Engagement (RCCE) to develop informed strategies for dealing with health crises and issues, such as the waning reception of lifetime vaccines. Training sessions were held throughout the year and reached a wide array of participants from various Caribbean nations, including Saint Vincent and the Grenadines, Barbados, Saint Lucia, Dominica, Grenada, Belize, and Jamaica.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".