The value of necropsy reports for animal health surveillance.

Küker, Susanne; Faverjon, Céline Odette; Furrer, Lenz; Berezowski, John Andrew; Posthaus, Horst; Rinaldi, Fabio; Vial, Flavie (2018). The value of necropsy reports for animal health surveillance. BMC veterinary research, 14(1), pp. 1-12. BioMed Central 10.1186/s12917-018-1505-1

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BACKGROUND

Animal health data recorded in free text, such as in necropsy reports, can have valuable information for national surveillance systems. However, these data are rarely utilized because the text format requires labor-intensive classification of records before they can be analyzed with using statistical or other software. In a previous study, we designed a text-mining tool to extract data from text in necropsy reports. In the current study, we used the tool to extract data from the reports from pig and cattle necropsies performed between 2000 and 2011 at the Institute of Animal Pathology (ITPA), University of Bern, Switzerland. We evaluated data quality in terms of credibility, completeness and representativeness of the Swiss pig and cattle populations.

RESULTS

Data was easily extracted from necropsy reports. Data quality in terms of completeness and validity varied a lot depending on the type of data reported. Diseases of the gastrointestinal system were reported most frequently (54.6% of pig submissions and 40.8% of cattle submissions). Diseases affecting serous membranes were reported in 16.0% of necropsied pigs and 27.6% of cattle. Respiratory diseases were reported in 18.3% of pigs and 21.6% of cattle submissions.

CONCLUSIONS

This study suggests that extracting data from necropsy reports can provide information of value for animal health surveillance. This data has potential value for monitoring endemic disease syndromes in different age and production groups, or for early detection of emerging or re-emerging diseases. The study identified data entry and other errors that could be corrected to improve the quality and validity of the data. Submissions to veterinary diagnostic laboratories have selection biases and these should be considered when designing surveillance systems that include necropsy reports.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Research Foci > Veterinary Public Health / Herd Health Management
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Veterinary Public Health Institute
05 Veterinary Medicine > Department of Infectious Diseases and Pathobiology (DIP) > Institute of Animal Pathology
05 Veterinary Medicine > Department of Infectious Diseases and Pathobiology (DIP)
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH)

UniBE Contributor:

Küker, Ursula Susanne, Faverjon, Céline Odette, Berezowski, John Andrew, Posthaus, Horst

Subjects:

600 Technology > 630 Agriculture

ISSN:

1746-6148

Publisher:

BioMed Central

Language:

English

Submitter:

Susanne Agnes Lerch

Date Deposited:

20 May 2019 15:35

Last Modified:

02 Mar 2023 23:31

Publisher DOI:

10.1186/s12917-018-1505-1

PubMed ID:

29914502

Uncontrolled Keywords:

Electronic necropsy records Informatics Surveillance Text-mining Veterinary

BORIS DOI:

10.7892/boris.126908

URI:

https://boris.unibe.ch/id/eprint/126908

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