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Record W4401579123 · doi:10.3390/hydrobiology3030015

A Review of Winter Ulcer Disease and Skin Ulcer Outbreaks in Atlantic Salmon (Salmo salar)

2024· review· en· W4401579123 on OpenAlexaffabout
Maryam Ghasemieshkaftaki

Bibliographic record

VenueHydrobiology · 2024
Typereview
Languageen
FieldImmunology and Microbiology
TopicAquaculture disease management and microbiota
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSalmoOutbreakMedicineFisheryBiologyFish <Actinopterygii>Pathology

Abstract

fetched live from OpenAlex

Winter ulcer disease (WUD) is widely recognized as a serious threat to animal welfare and a major contributor to revenue loss within the aquaculture sector, particularly affecting the salmon-farming industry. This highlights the significant impact of WUD on both animal well-being and the economic sustainability of fish farming. WUD causes hemorrhagic signs and results in dermal lesions and ulcers. This disease can lead to higher mortality rates and a considerable decline in the fish’s market value. Moritella viscosa, a Gram-negative bacterium, is predominantly, but not exclusively, correlated with the emergence of WUD, mostly during the colder seasons. Waterborne transmission is the primary way for spreading the bacterium within a population. However, there is remarkable variation in the prevalence and characteristics of WUD in different regions. In Europe, this disease often occurs in the winter, and the intensity and occurrence of outbreaks are influenced by water temperature and salinity. In contrast, outbreaks are typically observed in the summer and mid-autumn in Eastern Canada. Despite the administration of various polyvalent vaccines, outbreaks of skin ulcers have been documented in Canada, and studies have highlighted the possible roles of other bacterial pathogens in Atlantic salmon. This review discusses the etiology, pathogenesis, and potential mitigation or prevention strategies for WUD, mainly in Atlantic salmon. Moreover, it underscores the necessity of conducting further investigations to discover the potential unknown causative agents of ulcerative disease and design appropriate vaccines or preventive strategies for these pathogens.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2024
Admission routes2
Has abstractyes

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