COVID-19 Vaccine Confidence, Hesit Ancy And Refusal Among Hh Heads Of Municipality Of Pontevedra, Capiz
Bibliographic record
Abstract
This study primarily investigated the level of COVID-19 vaccine confidence, hesitancy and refusal among household heads of the municipality of Pontevedra during COVID-19 pandemic. A random sample of 372 household heads in a total of 12,071 households (PHO, 2021) in the municipality served as respondents of the study. A validated and pilot-tested researcher-made questionnaire was used as research instrument distributed using both online platform (Google Forms) and in printed questionnaire. Findings indicate that household heads in the municipality of Pontevedra are mostly females, in their mid-forties, married, Roman Catholic, College graduate, headed a household of five with a family member of less than 5 years old and a senior citizen, unemployed, with family monthly income below the poverty line, no medical insurance and stayed in the place for a quarter of a century. Majority of the HH heads have not been tested for COVID-19, has not been diagnosed by health care professionals based on symptoms only, had no in-person contact with anyone infected with COVID-19; and majority of them have no comorbidities or pre-existing health conditions. Moreover, HH heads are aware that they are quite unlikely to get COVID-19 and very closely complied about guidelines for COVID-19. Most of the HH heads in Pontevedra are COVID-19 Vaccine Confident, have a high level of social cohesion and trust during COVID-19, somewhat satisfied with the COVID-19 Control, and somewhat agree to receive COVID-19 Vaccination. There are significant differences on the mean vaccine confidence scores when HH heads are classified according to their age, highest educational attainment, employment status, and family monthly income. COVID-19 Vaccination response of HH Heads was significanly related with their profile variables (highest educational attainment, employment status, and estimated monthly income), their COVID-19-related profile, their extent of COVID-19 impact, their level of social cohesion and trust, and their level of satisfaction with the COVID-19 control.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".