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Peer-reviewed Research Articles

The Development of Search Filters for One Health Articles Using CAB Abstracts Descriptors

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Pages 29-39 | Received 24 Jul 2023, Accepted 20 Oct 2023, Published online: 03 Nov 2023
 

Abstract

This study seeks to develop and test the recall of two search hedges for One Health articles. CAB Abstracts was searched, and the first 100 relevance-ranked results were downloaded. The most frequent co-occurrences of CAB descriptors were used to develop a hedge. A second hedge was developed using the descriptors and related natural language keywords. The natural language hedge had better recall (100% and 95%, respectively) than the co-occurrence hedge (24% and 86%, respectively). When searching a broad-based topic area like One Health, there is a need for expansive language to incorporate multiple expressions of a concept.

Disclosure statement

No potential conflict of interest was reported by the authors.

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