Evidence map›Paper›PMID 36016809›Full record

ArticleFrontiers in veterinary science2022

Thermography for disease detection in livestock: A scoping review.

Rosemary McManus, Lisa A Boden, William Weir, Lorenzo Viora, Robert Barker, Yunhyong Kim, Pauline McBride, Shufan Yang

Open access · goldAbstract readScoping Review
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 41 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Rosemary McManusDivision of Pathology, Public Health and Disease Investigation, School of Veterinary Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Lisa A BodenGlobal Academy of Agriculture and Food Systems, The Royal (Dick) School of Veterinary Studies, The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
William WeirDivision of Pathology, Public Health and Disease Investigation, School of Veterinary Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Lorenzo VioraScottish Centre for Production Animal Health and Food Safety, School of Veterinary Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.
Robert BarkerSchool of Physical Sciences, University of Kent, Canterbury, United Kingdom.
Yunhyong KimInformation Studies Department, School of Humanities, University of Glasgow, Glasgow, United Kingdom.
Pauline McBrideSchool of Law, University of Glasgow, Glasgow, United Kingdom.
Shufan YangSchool of Computing, Edinburgh Napier University, Edinburgh, United Kingdom.
University of Glasgow · GBEdinburgh Napier University · GBRoslin Institute · GBUniversity of Kent · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infra-red thermography (IRT) offers potential opportunities as a tool for disease detection in livestock. Despite considerable research in this area, there are no common standards or protocols for managing IRT parameters in animal disease detection research. In this review, we investigate parameters that are essential to the progression of this tool and make recommendations for their use based on the literature found and the veterinary thermography guidelines from the American Academy of Thermology. We analyzed a defined set of 109 articles concerned with the use of IRT in livestock related to disease and from these articles, parameters for accurate IRT were identified and sorted into the fields of camera-, animal- or environment-related categories to assess the practices of each article in reporting parameters. This review demonstrates the inconsistencies in practice across peer-reviewed articles and reveals that some important parameters are completely unreported while others are incorrectly captured and/or under-represented in the literature. Further to this, our review highlights the lack of measured emissivity values for live animals in multiple species. We present guidelines for the standards of parameters that should be used and reported in future experiments and discuss potential opportunities and challenges associated with using IRT for disease detection in livestock.

Indexed as

diseaseinfra-redlivestocksurveillancethermographyveterinary

Identifiers

PMID36016809
PMCPMC9395652
OpenAlexW4290737394

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.