Pain in Pig Production: Text Mining Analysis of the Scientific Literature

Contiero, Barbara; Cozzi, Giulio; Karpf, Lee; Gottardo, Flaviana

doi:10.1007/s10806-019-09781-4

Cited by 10 publications

(11 citation statements)

References 33 publications

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“…All type of papers, including research, reviews, reports, and commentary papers (179 abstracts and 32 texts) that were eligible were submitted to descriptive statistics to profile the scientific corpus. An electronic Excel workbook was used to collect the data extracted from these papers as described by Contiero et al [ 39 ]. The spreadsheet was built in a 2-way table format considering every paper (record) as a row and its descriptive information in columns.…”

Section: Methodsmentioning

confidence: 99%

Challenging suicide, burnout, and depression among veterinary practitioners and students: text mining and topics modelling analysis of the scientific literature

Brščić

Contiero

Schianchi³

et al. 2021

BMC Vet Res

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Background Worldwide, veterinary practitioners and students are reported to be at higher risk of suicide, burnout, and depression compared to other occupational groups. The aim of the current study was to apply text mining and topic modelling analysis on scientific literature regarding suicide, burnout, and depression among veterinary practitioners and students to extract meaningful and synthetic information. These statistical approaches can be used to comprehend more in deep the phenomena involving veterinarians and veterinary students and to suggest the potential changes needed in admission to veterinary school, veterinary curricula, and post-graduation initiatives as preventive actions. Results A systematic search protocol was set up to identify scientific literature that published on the topic from 1985 to 2019. Two-hundred-eleven records were selected with abstracts/texts submitted to text mining and topic modelling analysis. Student, stress, work, anim*, and euthanasia resulted the most frequent terms. Topics modelling allowed to differentiate groups of words and papers in 3 areas of interest: 1) students’ difficulties encountered during their studies that increase stress and anxiety impairing their psychological health; 2) exposure to death and euthanasia as risk factor for mental health; and 3) need of support among those providing medical and health care, and of supportive group work to cope with such profession. Conclusion Based on the most frequent words included in the clouds and on the contents of the papers clusterised in them, some suggestions are interfered. It is emphasized that the veterinary curricula should include courses that prepare them early to deal with animal death and post-death grief of pet owners, to handle ethical dilemmas and moral stressors, to communicate with clients and staff members, to work in team, to balance work-family life and to promote individual and team resources. Specific courses for veterinary practitioners could keep them updated on their new roles and ways to handle them among functioning as potential feedbacks to monitor their psychological wellbeing.

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Section: Methodsmentioning

confidence: 99%

Challenging suicide, burnout, and depression among veterinary practitioners and students: text mining and topics modelling analysis of the scientific literature

Brščić

Contiero

Schianchi³

et al. 2021

BMC Vet Res

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“…As regards swine, the scientific literature focused mainly on fattening pigs and piglets (70%) rather than on sows and gilts. We expected a higher prevalence of papers on fattening pigs, which is likely due to the awareness of public opinion about tail docking and castration that promoted studies addressing the development of alternative production practices (31). However, the published papers including the general ABM term covered topics that were mainly on assessment scheme applications on farm, during transport, and at slaughter and the testing of intraand inter-observer reliability (18,32,33).…”

Section: Resultsmentioning

confidence: 99%

The Use of the General Animal-Based Measures Codified Terms in the Scientific Literature on Farm Animal Welfare

et al. 2021

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Background: The approach to farm animal welfare evaluation has changed and animal-based measures (ABM), defined as the responses of an animal or effects on an animal, were introduced to assess animal welfare. Animal-based measures can be taken directly on the animal or indirectly and include the use of animal records. They can result from a specific event or be the cumulative outcome of many days, weeks, or months. The objective of the current study was to analyze the use of general ABM codified terms in the scientific literature, the presence of their definitions, and the gap mapping of their use across animal species, categories, years of publication, and geographical areas of the corresponding author's institution. The ultimate aim was to propose a common standard terminology to improve communication among stakeholders. In this study, data models were populated by collecting information coming from scientific papers extracted through a transparent and reproducible protocol using Web of ScienceTM and filtering for the general ABM codified terms (or synonyms/equivalents). A total of 199 papers were retained, and their full texts were assessed. The frequency of general codified ABM terms was analyzed according to the classification factors listed in the objectives. These papers were prevalently European (159 documents), and the most represented species was cattle. Fifty percent of the papers did not provide a definition of the general ABM terms, and 54% cited other sources as reference for their definition. The results of the study showed a very low penetration of the general codified ABM term in the literature on farm animal welfare, with only 1.5% of the papers including the term ABM. This does not mean that specific ABM are not studied, but rather that these specific ABM are not defined as such under a common umbrella, and there is no consensus on the use of terminology, not even among scientists. Thus, we cannot expect the stakeholders to use a common language and a standardized terminology. The recognition and the inclusion of ABM in the lists of commonly accepted abbreviations of scientific journals could be a first step to harmonize the terminology in the scientific literature.

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“…A TM analysis was performed on the abstracts of the selected papers to find important patterns in text data as described by Wang et al ( 10 ) and Contiero et al ( 12 ). This technique converts text into numeric information and highlights the word frequency distributions.…”

Section: Methodsmentioning

confidence: 99%

“…In other words, TM and TA represent tools that can produce a preliminary thematic screening of large numbers of documents to reveal a structured “map” of textual knowledge ( 10 , 11 ) by uncovering recurrent topics and latent themes when the set of documents to analyse is large. For these reasons, TM is increasingly being used in the scientific literature as a tool to identify themes and future research avenues across a broad range of topics, including animal welfare studies ( 12 , 13 ).…”

Section: Introductionmentioning

confidence: 99%

The Welfare of Beef Cattle in the Scientific Literature From 1990 to 2019: A Text Mining Approach

Nalon¹,

Contiero²,

Gottardo³

et al. 2021

Front. Vet. Sci.

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Beef cattle are the third most numerous terrestrial farmed animals worldwide. Factors such as geographical region, animal category, breed, and rearing system pose specific animal welfare challenges that can have an impact on animal and public health. This article uses text mining (TM) and topic analysis (TA) to explore the scientific literature on beef cattle welfare published in English from 1990 to 2019. Our aim was to reveal the main research topics and their evolution over time. Our analysis showed that the three most relevant themes in research since 1990 have to do with calf behaviour and management, efficiency, and environmental sustainability, and the effects of transport and slaughter on meat quality. Topics showing the most marked increase in the number of papers published deal with stakeholders' perceptions and market opportunities for added-value beef products and risk factors for morbidity and mortality, especially in relation to calf health, antimicrobial use, and antimicrobial resistance. The results indicate a particular focus on the welfare of calves, especially in the veal industry. Pain relief during the castration of calves and bulls also featured prominently. Research is also increasingly assessing aspects of beef cattle welfare that are interlinked to meat quality, the social and environmental sustainability of the sector in relation to market opportunities, and public health. The identified topics represent a basic source of information that can be used for further and more detailed analyses (e.g., systematic reviews) focussed on specific research themes or geographical areas.

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Pain in Pig Production: Text Mining Analysis of the Scientific Literature

Cited by 10 publications

References 33 publications

Challenging suicide, burnout, and depression among veterinary practitioners and students: text mining and topics modelling analysis of the scientific literature

Challenging suicide, burnout, and depression among veterinary practitioners and students: text mining and topics modelling analysis of the scientific literature

The Use of the General Animal-Based Measures Codified Terms in the Scientific Literature on Farm Animal Welfare

The Welfare of Beef Cattle in the Scientific Literature From 1990 to 2019: A Text Mining Approach

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