Factors Influencing the Participation of Mothers with Toddlers Aged 2-12 Months in the Pneumococcal Conjugate Vaccine Program in Metro, Lampung, Indonesia
Bibliographic record
Abstract
Pneumonia (pneumonitis) is an infectious disease that often attacks children under five. One way to prevent and control pneumonia cases is through the Pneumococcal Conjugate Vaccine (PCV) immunization program targeting toddlers aged two months to 12 months. However, the achievement of Universal Child Immunization (UCI) in Metro Lampung, Indonesia, is below the target. This research aims to determine the factors that influence the participation of mothers of toddlers aged 2-12 months in the PCV immunization program. This cross-sectional study was conducted on 208 patients with mothers of toddlers aged 2-12 months in the PCV immunization program in Metro Lampung, Indonesia, from July to October 2023. Variable measurements were carried out using a questionnaire. The chi-square test and logistic regression were used for data analysis. The research results show that factors that have a significant influence on the participation of mothers of toddlers aged 2-12 months in the PCV program are knowledge (OR= 7.32; 95% CI= 3.38-18.85), family support OR=6, 71; 95% CI=3.09-14.57) and exposure to information media (OR=4.28; 95% CI=1.94-9.42). Mothers with toddlers aged 2-12 months should participate in the PCV program to prevent pneumonia in children.
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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 | 0.000 | 0.000 |
| 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".