Harnessing the power of the community to increase vaccination among homeless populations in inner-city Vancouver
Bibliographic record
Abstract
Aim: Homeless populations have lower vaccination uptake than the general population. Low-threshold clinics play a crucial role in providing preventative interventions to these individuals. The objective of this study was to determine the effectiveness of using a community pop-up clinic to achieve high levels of vaccination among residents of Vancouver's inner-city.Methods: In this study, we implemented mobile community pop-up vaccine clinics to provide vaccinations to individuals residing at single-room occupancy dwellings in inner-city Vancouver, Canada. We provided education about respiratory infection vaccines, then offered immunization for COVID-19, influenza and pneumococcus to all who were eligible.Results: From October 2023 to April 2024, we held 34 events, and engaged 335 under-housed residents of Vancouver's inner-city. We administered 527 vaccines: 237, 221 and 69 influenza, COVID-19 and pneumococcal, respectively. For COVID-19, and a total of 221 doses were given to 210 individuals; and this represented the first immunization for 15 individuals. The smaller number of pneumococcal vaccines given was related to the later implementation of this aspect of our program.Conclusion: Achieving higher vaccination rates among Vancouver's inner-city residents requires targeted initiatives and low-barrier access. Our mobile pop-up clinic program has led to high vaccination rates among under-housed inner-city residents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".