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Published (Version of record)CC BY V4.0, Open Access
Published (Version of record)CC BY-NC V4.0, Open
Journal article
Text mining and topic modeling insights on fish welfare and antimicrobial use in aquaculture
BMC veterinary research, Vol.21(1), pp.1-11
31/03/2025
PMCID: PMC11956193
PMID: 40165246
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Abstract
Antimicrobial use (AMU) and antibiotic resistance (AR) in aquaculture present growing concerns for public health. Furthermore, there exists a correlation between fishes' welfare and AMU. This systematic review aims to analyze the scientific literature on fishes' welfare and AMU/AR over the last 32 years, identifing the main research topics, and the fields where investigation has been imitated. A comprehensive search was conducted using Scopus, employing specific keywords related to AMU/AR and welfare and preselected filters. The study employed a systematic approach following the PRISMA guidelines, and machine learning techniques were used. From 2,019 records retrieved, only those focused-on fishes welfare and AMU/AR were retained. Ultimately, 185 records showing a connection between these topics were included in the qualitative analysis. Text mining analysis revealed terms with the highest weighted frequency in the data corpus, while topic analysis identified the top five core areas: Topic 1 (Antibiotic resistance and strain genetic isolation), Topic 2 (Aquaculture and Human Health, environment, and food), Topic 3 (Fish response to stress and indicators), Topic 4 (Control of water and fish growth), and Topic 5 (Aquaculture research and current farming methods). The results indicate a growing interest in fish welfare and AMU/AR, while also highlighting areas that require further investigation, such as the link between these research fields. Improving fish welfare can reduce AR, aligning with the One Health policy.
Details
- Title
- Text mining and topic modeling insights on fish welfare and antimicrobial use in aquaculture
- Creators
- Annalisa Previti - University of MessinaVito Biondi - University of MessinaFederica Bruno - Istituto Zooprofilattico Sperimentale Della SiciliaGermano Castelli - Istituto Zooprofilattico Sperimentale Della SiciliaMichela Pugliese - University of MessinaFabrizio Vitale - Istituto Zooprofilattico Sperimentale Della SiciliaBarbara Padalino - University of BolognaAnnamaria Passantino - University of Messina
- Publication Details
- BMC veterinary research, Vol.21(1), pp.1-11
- Publisher
- Springer Nature
- Number of pages
- 11
- Identifiers
- 991013293551602368
- Copyright
- © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
- Academic Unit
- Faculty of Science and Engineering; Veterinary Science
- Language
- English
- Resource Type
- Journal article