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ORIGINAL RESEARCH article

Front. Vet. Sci.
Sec. Veterinary Humanities and Social Sciences
Volume 11 - 2024 | doi: 10.3389/fvets.2024.1490770
This article is part of the Research Topic Extension Initiatives for Improving Livestock and Poultry Health and Production View all 3 articles

Data recording and use of data tools for pig health management: Perspectives of stakeholders in pig farming

Provisionally accepted
  • 1 Department of Health Sciences and Technology, ETH Zürich, Zurich, Zürich, Switzerland
  • 2 Institute of Agrifood Research and Technology (IRTA), Barcelona, Catalonia, Spain
  • 3 Centre de Recerca en Sanitat Animal (CReSA), Barcelona, Catalonia, Spain
  • 4 IRTA-CReSA, Centre for Research on Animal Health, Bellaterra, Spain
  • 5 Animal Health Ireland, Carrick-on-Shannon, Ireland
  • 6 Royal GD, Deventer, Netherlands
  • 7 Autonomous University of Barcelona, Barcelona, Catalonia, Spain

The final, formatted version of the article will be published soon.

    Data-driven strategies might combat the spreading of infectious pig disease and improve the early detection of potential pig health problems. The current study aimed to explore individual views on data recording and use of data tools for pig health management by recruiting stakeholders (N = 202) in Spain, Ireland, and the Netherlands. Questionnaire focused on current on-farm challenges, current status of data recording on farms, and evaluation of the two mock data tools. Particularly, "benchmarking tool" was designed to visualize individual farm's pig mortality, targeting the management of infectious respiratory and gastrointestinal diseases; and "early-warning tool" was designed to generate an alarm through monitoring coughs in pigs, targeting the management of infectious respiratory diseases. Results showed that respiratory and gastrointestinal diseases and aggressive behaviors were the most frequently mentioned health challenge and welfare challenge, respectively. Most of the data was more frequently recorded electronically than on paper. In general, the "benchmarking tool" was perceived as useful for the management of infectious respiratory and gastrointestinal diseases, and the "early-warning tool" was evaluated as useful for the management of infectious respiratory diseases. Several barriers to the perceived usefulness of these two tools were identified, such as the lack of contextual information, inconvenience of data input, limited internet access, reliance on one's own experience and observation, technical hurdles, and mistrust of information output. The perceived usefulness of both tools was higher among highly educated participants, and those who reported being integrators and positive towards technology for disease control. Female participants and those who came from integrated farms evaluated the "early-warning tool" as more useful compared to their counterparts. The perceived usefulness of the "early-warning tool" was negatively affected by age and work experience, but positively affected by extensiveness of data recording, positive attitude towards technology, and the current use of technology. In summary, participants showed optimistic views on the use of data tools to support their decision-making and management of infectious pig respiratory and gastrointestinal diseases. It is noteworthy that data tools should not only convey the value of data for informed decision-making but also consider stakeholders' preconditions and needs for data tools.

    Keywords: pig farming1, data tools2, pig health3, smart farming4, sensoring5

    Received: 03 Sep 2024; Accepted: 20 Dec 2024.

    Copyright: © 2024 Zhou, Knörr, Garcia Morante, Correia-Gomes, Dieste Pérez, Segalés, Sibila, Vilalta, Burrell, Tobias, Siegrist and Bearth. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiao Zhou, Department of Health Sciences and Technology, ETH Zürich, Zurich, 8092, Zürich, Switzerland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.