Evidence map›Paper›PMID 40745185›Full record

ArticleScientific data2025

Sea lice infestation dataset for wild and farmed salmon populations on the Pacific coast of Canada (2001-2023).

Crawford W Revie, Thitiwan Patanasatienkul, Gregor McEwan, Martin Krkošek, Lance Stewardson

Erratum issuedAbstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Crawford W RevieDepartment of Computer and Information Sciences, University of Strathclyde, 26 Richmond Street, Glasgow, G1 1XQ, Scotland, UK. crawford.revie@strath.ac.uk.ORCID 0000-0002-5018-0340
Thitiwan PatanasatienkulDepartment of Health Management, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada.ORCID 0000-0003-4798-066X
Gregor McEwanDepartment of Health Management, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, C1A 4P3, Canada.ORCID 0000-0001-5959-0576
Martin KrkošekDepartment of Ecology and Evolutionary Biology, University of Toronto, 1310 Marwalk Cres, Toronto, ON, M5S 3B2, Canada.
Lance StewardsonMainstream Biological Consulting, 1310 Marwalk Cres, Campbell River, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring sea lice infestation levels on populations of farmed and wild salmonids is critical to the development of evidence-based policy designed to mitigate the risk these ectoparasites represent to wild juvenile salmon and the on-going sustainability of salmon aquaculture. The data described relate to sea lice monitoring along the coast of British Columbia (BC), Canada from all areas where Atlantic salmon farms are present, spanning over two decades of observations from these farms and adjacent wild Pacific salmonid populations. Around 10,000 mean monthly sea lice estimates are included from almost 100 salmon farms spread across seven 'fish health' zones along the BC coast. Sea lice infestation data from over 365,000 wild hosts, observed as part of almost 17,000 sampling events in these zones, are also reported. While observations were made in the same broad geographical area, temporal coverage varies by zone. These data provide valuable insights into long-term trends, including spatial variability and demographic patterns within the sea lice populations observed on various host species along the BC coast.

Indexed as

CopepodaEctoparasitic InfestationsFish DiseasesSalmonAnimalsAquacultureBritish Columbia

Identifiers

PMID40745185
PMCPMC12313945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.