Implementing older adult vaccination within the Immunization Agenda 2030: A discussion of potential challenges and solutions
Bibliographic record
Abstract
As the World Health Organization moves forward into the Decade of Healthy Ageing in 2020, developing immunization programs with a life-course and integration approach for older people is one of the key strategic priority areas, and is highlighted in the Immunization Agenda 2030 roadmap. The World Federation of Public Health Associations (WFPHA) conducted a focus group discussion on 11 November 2021. Nine national experts specializing in vaccination policy from Canada, the United States, Taiwan, Brazil, and El Salvador were recruited through the World Federation Public Health Associations network to participate in an online focus group discussion to discuss the operational challenges and potential strategies for the implementation of older adult vaccination programs. Experts’ recommendations were presented using the Immunization Agenda 2030 roadmap after consensus was reached. Key recommendations were that it is important to ensure equitable vaccine access using a people-centered approach; that optimizing health communication channels and strategies can combat hesitancy and promote knowledge of vaccination among older people; that there is a need for data-driven strategies to guide the surveillance and monitoring of disease burden and vaccination status; and that the success of such programs will depend on sustained government funding and support. As countries start to look beyond the immediate impact of the COVID-19 pandemic, there is a window of opportunity to re-prioritize vaccination programs within existing health systems to protect older adults. Moving forward, creative solutions and buy-in from a wide range of stakeholders are required, and further research is needed to fill in knowledge gaps.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".