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Factors associated with cattle necropsy submissions in Switzerland, and their importance for surveillance.

Authors :
Zühlke I
Berezowski J
Bodmer M
Küker S
Göhring A
Rinaldi F
Faverjon C
Gurtner C
Source :
Preventive veterinary medicine [Prev Vet Med] 2021 Feb; Vol. 187, pp. 105235. Date of Electronic Publication: 2020 Dec 15.
Publication Year :
2021

Abstract

Pathology data have been reported to be important for surveillance, as they are crucial for correctly recognizing and identifying new or re-emerging diseases in animal populations. However, there are no reports in the literature of necropsy data being compared or complemented with other data. In our study, we compared cattle necropsy reports extracted from 3 laboratories with the Swiss fallen stock data and clinical data collected by the association of Swiss Cattle Breeders. The objective was to assess the completeness, validity and representativeness of the necropsy data, as well as evaluate potential factors for necropsy submission and how they can benefit animal health surveillance. Our results showed that, on average, 1% of Swiss cattle that die are submitted for post-mortem examinations. However, different factors influence cattle necropsy submissions, such as the age of the animal, the geographical location and the number of sick and/or dead animals on the farm. There was a median of five animals reported sick and two animals reported dead within 30 days prior to a necropsy submission, providing quantitative evidence of a correlation between on farm morbidity/mortality and post-mortem examination. Our results also showed that necropsy data can help improve the accuracy and completeness of health data for surveillance systems. In this study, we were able to demonstrate the importance of veterinary pathology data for AHS by providing quantitative evidence that necropsied animals are indicative of farms with important disease problems and are therefore critically important for surveillance. Furthermore, thanks to the amount of information provided by combined data sources, the epidemiology (e.g. season, geographic region, risk factors) of potential diseases can be analysed more precisely and help supporting animal health surveillance systems.<br /> (Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-1716
Volume :
187
Database :
MEDLINE
Journal :
Preventive veterinary medicine
Publication Type :
Academic Journal
Accession number :
33453476
Full Text :
https://doi.org/10.1016/j.prevetmed.2020.105235