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Record W2888321350 · doi:10.1111/zph.12521

Investigation of a community cluster of cutaneous <i>Mycobacterium marinum</i> infection, an emerging zoonotic pathogen in aquaculture industry, Haliburton, Kawartha, Pine Ridge District Health Unit, Ontario, Canada, July–August 2015

2018· article· en· W2888321350 on OpenAlexaffabout
Vidya Sunil, Andrew Harris, Bob Sine, Anne Marie Holt, Avis Lynn Noseworthy, Doug Sider, Frances Jamieson, Shelley K. White, Cassandra Johnston, Olivia Spohn

Bibliographic record

VenueZoonoses and Public Health · 2018
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsPublic Health OntarioHaliburton Forest & Wild Life Reserve
Fundersnot available
KeywordsMycobacterium marinumPublic healthUnit (ring theory)Environmental healthVeterinary medicineAquacultureCluster (spacecraft)MedicineFisheryBiologyPathologyTuberculosisFish <Actinopterygii>Mycobacterium

Abstract

fetched live from OpenAlex

In July 2015, a cluster of five suspect cases of clinically diagnosed Mycobacterium marinum (M. marinum) skin infections were reported to the Haliburton, Kawartha, Pine Ridge District Health Unit (HKPRDHU), Ontario, Canada, with two additional cases subsequently identified through case finding. All seven cases presented with cutaneous lesions located on the finger, hand and/or elbow regions typical of M. marinum infection. Specimens were collected by skin biopsy for two of the seven cases; both cases tested positive for M. marinum by molecular detection (hsp65 gene amplification and sequencing), and one was confirmed positive for M. marinum by culture. All seven cases reported handling raw shrimp from an aquaculture facility in the Health Unit's jurisdiction. M. marinum is not a reportable disease in Ontario, and there are no known previous reports of a cluster of M. marinum reported in Ontario, Canada. A cluster investigation working group was struck that included representation from various agencies including Public Health Ontario (PHO), Public Health Ontario Laboratories (PHOL), Ontario Ministry of Agriculture and Rural Affairs (OMAFRA) and the two health units involved in case investigations. Several public health and aquaculture farming recommendations were made to mitigate further risks associated with handling of raw shrimp from the facility. Several challenges were faced during the investigation process. The paper discusses these challenges and public health recommendations made in order to mitigate occupational and public health risks related to the hazard identified.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.319
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

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