Vaccine-associated measles in an immunocompromised host: Hospital infection prevention and control and public health response
Bibliographic record
Abstract
Introduction: Vaccine-associated measles is generally not considered to be transmissible, as opposed to wild-type measles, which is one of the most highly contagious diseases. Data on contact and exposure management of vaccine-associated measles is limited, with varied approaches to such cases described in the literature. Methods: We report the case of a 2-year-old immunosuppressed child who developed a febrile exanthem with mild conjunctivitis 18 days after receiving the measles-mumps-rubella-varicella vaccine. Results: Given the patient's recent measles-containing vaccination while on immunosuppressive medications, consistent clinical findings, and the lack of epidemiological risk factors for wild-type infection the decision was made to treat this as a presumptive case of vaccine-associated measles virus prior to return of confirmatory genotyping results. After consultation with public health experts, contact tracing was not considered necessary. No secondary measles cases were identified, despite a large exposure potential due to lack of consistent airborne precautions during hospital admission. Discussion: This case highlights the lack of transmissibility of vaccine-associated measles in immunocompromised hosts, adding to the scant body of literature on this topic, with the potential to inform hospital infection prevention and control as well as public health management in similar situations.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".