Individual faecal and boot swab sampling to determine John's disease status in small cattle herds.


Journal

Veterinaria italiana
ISSN: 1828-1427
Titre abrégé: Vet Ital
Pays: Italy
ID NLM: 0201543

Informations de publication

Date de publication:
11 May 2021
Historique:
received: 20 07 2017
accepted: 26 09 2018
entrez: 27 7 2021
pubmed: 28 7 2021
medline: 2 9 2021
Statut: epublish

Résumé

Individual faecal samples were collected from adult animals in 275 cattle farms previously positive for Mycobacterium avium subsp. paratuberculosis (MAP). In addition, boot swab samples were collected in 30 randomly chosen farms. Faecal samples were tested for MAP by a combination of bacterial culture and PCR. A logistic regression and the Pearson Correlation were used to calculate the relation between the number of MAP‑positive cows and boot swab results. In 66.9% of all previously tested herds, no positive individual faecal sample was detected, indicating possible fadeout of the infection. In 9 (30.0%) of the 30 selected farms, at least one MAP‑shedding animal was detected in faecal samples individually collected, while only 5 (16.7%) of these farms were found positive when the boot sampling method was used. The sensitivity of the boot swab sampling increased up to 92% (95% CI: 41%‑99%), if at least 12 animals were faecal MAP‑shedders in a herd. The current study shows possible fadeout of JD in a substantial percentage of previously infected herds. Furthermore, in small herds, a relatively high within‑herd prevalence of MAP‑shedding animals is needed to assure reliable positive boot swab results.

Identifiants

pubmed: 34313095
doi: 10.12834/VetIt.1389.7584.2
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19-27

Auteurs

Sophie Gschaider (S)

University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna.

Judith Köchler (J)

University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna.

Joachim Spergser (J)

Institute of Microbiology, Department for Pathobiology, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.

Alexander Tichy (A)

Bioinformatics and Biostatistics Platform, Department for Biomedical Sciences University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.

Christian Mader (C)

Veterinary Health Service Tyrol, Wilhelm-Greil-Straße 17, 6020 Innsbruck, Austria.

Matthias Vill (M)

Regional Veterinary Office Tyrol, Wilhelm-Greil-Straße 17, 6020 Innsbruck, Austria.

Paul Ortner (P)

Regional Veterinary Office Tyrol, Wilhelm-Greil-Straße 17, 6020 Innsbruck, Austria.

Josef Kössler (J)

Regional Veterinary Office Tyrol, Wilhelm-Greil-Straße 17, 6020 Innsbruck, Austria.

Johannes Lorenz Khol (JL)

University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna. Johannes.Khol@vetmeduni.ac.at.

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Classifications MeSH