Applying Bipartite Network Analysis and Ordination Technique to Evaluate Long-Term Data from Veterinary-Sanitary Examination of Slaughtered Pigs.

condemnation heatmap meat inspection pig diseases veterinary inspection

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
14 Feb 2022
Historique:
received: 08 12 2021
revised: 20 01 2022
accepted: 11 02 2022
entrez: 25 2 2022
pubmed: 26 2 2022
medline: 26 2 2022
Statut: epublish

Résumé

Animal and meat inspections in abattoirs are important in the surveillance of zoonotic diseases. Veterinary inspections in abattoirs can provide useful data for the management of health and welfare issues of humans and animals. Using the network analysis and ordination technique, in this study, we analyzed the data from 11 years of veterinary inspections in pig slaughterhouses from 16 regions in Poland. Based on the huge data set of 80,187,639 cases of diseases and welfare issues of pigs, the most frequent livestock diseases were identified to be abscesses, soiling, faecal or other contaminations, and congestions, which together accounted for 77.6% of the total condemnations. Spatial and temporal differences in swine diseases between the Polish regions were recognized using the above-mentioned statistical approaches. Moreover, with the use of a quite novel method, not used yet in preventive veterinary medicine, called a heatmap, the most problematic disease and welfare issues in each region in Poland were identified. The use of statistical approaches such as network analysis and ordination technique allow for identification of the health and welfare issues in slaughterhouses when dealing with long-term inspection data based on a very large number of cases, and then have to be adopted in current veterinary medicine.

Identifiants

pubmed: 35203180
pii: ani12040472
doi: 10.3390/ani12040472
pmc: PMC8868450
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Michał Majewski (M)

Laboratory of Veterinary Public Health Protection, Poznań University of Life Sciences, Słoneczna 1, 62-002 Poznan, Poland.

Łukasz Dylewski (Ł)

Department of Zoology, Poznań University of Life Sciences, Wojska Polskiego 71C, 60-625 Poznan, Poland.

Sebastian Grabowski (S)

Department of Epizootiology and Clinic of Infectious Diseases, Faculty of Veterinary Medicine, University of Life Sciences in Lublin, 20-400 Lublin, Poland.

Przemysław Racewicz (P)

Laboratory of Veterinary Public Health Protection, Poznań University of Life Sciences, Słoneczna 1, 62-002 Poznan, Poland.

Piotr Tryjanowski (P)

Department of Zoology, Poznań University of Life Sciences, Wojska Polskiego 71C, 60-625 Poznan, Poland.

Classifications MeSH