Reported Rabies Pre-exposure Immunization of Students at US Colleges of Veterinary Medicine
Bibliographic record
Abstract
In 2008, the US experienced a disruption in human rabies vaccine supplies, leading public health authorities to prioritize vaccine release for post-exposure prophylaxis (PEP) and limit vaccine supplies for pre-exposure prophylaxis (PreEP) in high-risk groups. In 2008, the Association of American Veterinary Medical Colleges (AAVMC) surveyed its member institutions on rabies vaccination policies and practices. Senior administrators at Colleges of Veterinary Medicine (CVMs) and departments of veterinary science and comparative medicine were asked to identify the person most knowledgeable about their institution's student rabies vaccination program. Respondents were asked to describe their policies and procedures for administering PreEP to veterinary medical students and staff and to estimate the annual demand for student and staff PreEP vaccine. Twenty-one CVMs responded. Twenty (95%) reported requiring PreEP of veterinary medical students and 16 (80%) of those 20 required vaccination upon matriculation. An estimated 7,309 doses of vaccine were required for PreEP of an estimated 2,436 first-year US veterinary medical students. Seventy-two percent of respondents administered PreEP in August, September, and October, coinciding with the highest public demand for PEP. CVMs should consider altering the timing of rabies vaccine administration to veterinary medical students and staff to other months, thereby helping to ensure that PEP rabies vaccine will be available to people with validated rabies exposures and to ensure that supplies will be available for PreEP of students and staff. AAVMC may wish to identify and support a point of coordination to facilitate the purchase and distribution of human rabies vaccine among its US member CVMs.
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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 | 0.002 | 0.012 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".