CLOSING THE IMMUNITY GAP: A NARRATIVE REVIEW ON IMPROVING HEALTHCARE WORKER PERTUSSIS VACCINATION IN MALAYSIA THROUGH LESSONS FROM THE GLOBAL EXPERIENCE
Bibliographic record
Abstract
Pertussis remains a significant public health concern despite widespread vaccination programs, with healthcare workers (HCWs) increasingly recognised as both susceptible populations and potential sources of nosocomial transmission to vulnerable infants. While many high-income countries have established comprehensive HCW pertussis vaccination policies, Malaysia lacks formal national guidelines despite documented infant pertussis burden. This narrative review examines global healthcare worker pertussis vaccination policies and their applicability to Malaysia, evaluating evidence on nosocomial transmission, vaccination strategies, cost-effectiveness, and policy implementation. A narrative review was conducted in accordance with established guidelines for literature synthesis. Multiple databases, including PubMed, Scopus, and Web of Science, were searched for peer-reviewed literature on pertussis vaccination policies, nosocomial outbreaks, HCW immunisation strategies, and economic evaluations. Grey literature from government health agencies was included to capture policy documents. Healthcare workers demonstrate substantial pertussis susceptibility globally, with seroprevalence studies showing 48.3-51.7% lacking protective immunity. Documented nosocomial outbreaks indicate a significant risk of transmission to vulnerable infants. International policies vary considerably: Australia, the United Kingdom, and Canada mandate or strongly recommend Tdap vaccination for HCWs as part of occupational health programs, while Malaysia lacks specific HCW vaccination guidelines. Cost-effectiveness analyses show that HCW vaccination programs yield net savings of $17.84 per dollar spent when productivity losses are included. Substantial evidence supports the implementation of mandatory Tdap vaccination policies for Malaysian healthcare workers. Recommendations include establishing national HCW vaccination guidelines, providing free workplace vaccination programs, and implementing pre-employment vaccination requirements.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".