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Retrospective analysis of 11 years of livestock necropsy data : evaluation for animal health surveillance


Faverjon, Céline; Küker, Susanne; Furrer, Lenz; Berezowski, John; Posthaus, Horst; Rinaldi, Fabio; Vial, Flavie (2017). Retrospective analysis of 11 years of livestock necropsy data : evaluation for animal health surveillance. In: 3rd International Conference on Animal Health Surveillance, Rotorua, New Zealand, 30 April 2017 - 4 May 2017, 228-230.

Abstract

Livestock necropsy reports from diagnostic laboratories may be of interest for disease surveillance. However, they are usually created using natural language making the extraction of relevant data complicated. To evaluate necropsy reports for animal health surveillance, we first developed a text mining tool to automatically classify necropsy reports for cattle and pigs into 13 syndromic categories primarily based on topography of organ systems, before retrospectively describing 11 years of necropsy submissions to one of the two largest Swiss veterinary diagnostic laboratories using time series analysis. The main syndromic categories identified were gastrointestinal system, serous membranes and respiratory system. The proportion of submissions represented by different syndromes and their seasonal patterns differed between age classes, in particular for cattle. Thus, we recommend that the different age classes should be monitored separately should these data be integrated in a prospective surveillance system.

Abstract

Livestock necropsy reports from diagnostic laboratories may be of interest for disease surveillance. However, they are usually created using natural language making the extraction of relevant data complicated. To evaluate necropsy reports for animal health surveillance, we first developed a text mining tool to automatically classify necropsy reports for cattle and pigs into 13 syndromic categories primarily based on topography of organ systems, before retrospectively describing 11 years of necropsy submissions to one of the two largest Swiss veterinary diagnostic laboratories using time series analysis. The main syndromic categories identified were gastrointestinal system, serous membranes and respiratory system. The proportion of submissions represented by different syndromes and their seasonal patterns differed between age classes, in particular for cattle. Thus, we recommend that the different age classes should be monitored separately should these data be integrated in a prospective surveillance system.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:4 May 2017
Deposited On:14 Dec 2017 16:39
Last Modified:19 Mar 2018 09:19
Publisher:New Zealand Veterinary Association
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.sciquest.org.nz/node/130638

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