Evidence map›Paper›PMID 36778949›Full record

ArticleRoyal Society open science2023

Timing and probability of arrival for sea lice dispersing between salmon farms.

Peter D Harrington, Danielle L Cantrell, Michael G G Foreman, Ming Guo, Mark A Lewis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Royal Society open science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Peter D HarringtonDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-5968-8984
Danielle L CantrellCalifornia Department of Fish and Wildlife, Marine Region's Fisheries Analytics Project, 20 Lower Ragsdale Drive, Suite 100, Monterey, CA 93940, USA.
Michael G G ForemanInstitute of Ocean Sciences, Fisheries and Oceans Canada, Sidney, British Columbia, Canada.
Ming GuoInstitute of Ocean Sciences, Fisheries and Oceans Canada, Sidney, British Columbia, Canada.
Mark A LewisDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms. With a free-living larval stage, sea lice can disperse tens of kilometres in the ocean between salmon farms, leading to connected sea louse populations that are difficult to control in isolation. In this paper, we develop a simple analytical model for the dispersal of sea lice (

Indexed as

arrival timebio-physical modeldispersalsalmon farmssea lice

Identifiers

PMID36778949
PMCPMC9905982

What OpenQuestion holds

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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.