Evidence map›Paper›PMID 32287575›Full record

ArticleComputers and electronics in agriculture2016

Early recognition of bovine respiratory disease in calves using automated continuous monitoring of cough sounds.

Joris Vandermeulen, Claudia Bahr, Dayle Johnston, Bernadette Earley, Emanuela Tullo, Ilaria Fontana, Marcella Guarino, Vasileios Exadaktylos, Daniel Berckmans

Open access · greenAbstract read
In one paragraph

Article in Computers and electronics in agriculture, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Effects ofAnimals : an open access journal from MDPI · 2024
    Article
  10. Article
  11. Does micro-granulated yeast probiotic (Veterinary and animal science · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Animal Welfare Management in a Digital World.Animals : an open access journal from MDPI · 2020
    Review
  20. 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

9 authors at 3 institutions in 3 countries.

Joris VandermeulenM3-BIORES: Measure, Model & Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Heverlee, Belgium.
Claudia BahrM3-BIORES: Measure, Model & Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Heverlee, Belgium.
Dayle JohnstonTeagasc, Animal & Grassland Research and Innovation Centre, Animal and Bioscience Research Department, Grange, Dunsany, Co. Meath, Ireland.
Bernadette EarleyTeagasc, Animal & Grassland Research and Innovation Centre, Animal and Bioscience Research Department, Grange, Dunsany, Co. Meath, Ireland.
Emanuela TulloDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy.
Ilaria FontanaDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy.
Marcella GuarinoDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, via Celoria 10, 20133 Milan, Italy.
Vasileios ExadaktylosM3-BIORES: Measure, Model & Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Heverlee, Belgium.
Daniel BerckmansM3-BIORES: Measure, Model & Manage Bioresponses, KU Leuven, Kasteelpark Arenberg 30, BE-3001 Heverlee, Belgium.
KU Leuven · BEUniversity of Milan · ITTeagasc - The Irish Agriculture and Food Development Authority · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine respiratory disease (BRD) complex in calves impairs health and welfare and causes severe economic losses for the Stockperson. Early recognition of BRD should lead to earlier veterinary (antibiotic/anti-inflammatory) treatment interventions thereby reducing the severity of the disease and associated costs. Coughing is one of the clinical manifestations of BRD. It is believed that by automatically and continuously monitoring the sounds within calf houses, and analysing the coughing frequency, early recognition of BRD in calves is possible. Therefore, the objective of the present study was to develop an automated calf cough monitor and examine its potential as an early warning system for BRD in artificially reared dairy calves. The coughing sounds of 62 calves were continuously recorded by a microphone over a three-month period. A sound analysis algorithm was developed to distinguish calf coughs from other sounds (e.g. mechanical sounds). During the sound recording period the health of the calves was assessed and scored periodically per week by a trained human observer. Calves presenting with BRD received antibiotic and/or anti-inflammatory treatment and the dates of treatment were recorded. This treatment date reference served as a comparison for the investigation of whether an increase in coughing frequency could be related to calves developing BRD. The calf cough detection algorithm achieved 50.3% sensitivity, 99.2% specificity and 87.5% precision. Four out of five periods, where coughing frequency was observed to be increased, coincided with the development of BRD in more than one calf. This period of increased coughing frequency was always observed before the calves were treated. Therefore, the calf cough monitor has the potential to identify early onset of BRD in calves.

Indexed as

BioacousticsDisease monitoringNon-invasive technologySound analysis

Identifiers

PMID32287575
PMCPMC7114224
OpenAlexW2522126053

What OpenQuestion holds

Textmetadata
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.