Investigation and management of psittacosis in a public aviary: A One Health approach
Bibliographic record
Abstract
Background: Chlamydophila psittaci is a zoonotic bacterium that causes avian chlamydiosis in birds and psittacosis in people.Public aviaries provide a setting for occupational and recreational exposure to ill birds.Objective: To describe the investigation and management of avian chlamydiosis in a public aviary in Canada using a One Health approach.Methods: In June 2013, a previously healthy lorikeet died.Post-mortem examination showed fungal air sacculitis and hepatitis with RT-PCR testing positive for C. psittaci.Provincial veterinarians along with provincial and local public health officials investigated the avian and worker health at the aviary.Outcome: A One Health approach to prevention, detection and response was applied to the people and birds potentially exposed to C. psittaci.The aviary was closed pending investigation and response measures.No further cases of avian or human disease were found.Birds were treated with antibiotics in the event the dead bird was infectious prior to death.The aviary was appropriately cleaned and disinfected and then re-opened to the public.Conclusions: The C. psittaci death likely represented latent infection and/or a low virulence strain given the lack of spread to other birds or people.A coordinated, multiagency approach using a One Health framework was successfully used during the first C. psittaci investigation at a public aviary in Canada.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.004 |
| 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".