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Sherry Khoddami, Erin Fraser, Chelsea G Himsworth, Anya F Smith, Ellen Boyd

Abstract read

In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sherry KhoddamiSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.

Erin FraserSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.

Chelsea G HimsworthSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.

Anya F SmithSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.

Ellen BoydSchool of Population and Public Health, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premises Identification (PID) programs in Canada assign unique identification numbers to locations where animals, such as livestock and poultry, are kept. These programs are provincial and territorial, with a purpose of supporting various animal disease outbreaks, natural disaster emergencies, and animal traceability. While most PID programs have been operating since early 2000s, there has been no study reporting on PID programs in Canada. This qualitative study explored PID programs across Canada through the perspectives of government-employed stakeholders to (1) describe PID programs in participating Canadian provinces and territories, and (2) identify the strengths and weaknesses across PID programs. Stakeholders from nine provinces and one territory (

Indexed as

Agriculture policyAnimal health surveillanceAnimal traceabilityEmergency preparednessOne HealthVeterinary public health

Identifiers

PMID42472017

DOI10.1016/j.onehlt.2026.101512

PMCPMC13380441

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.