Suppr超能文献

猪健康管理的数据记录与数据工具应用:养猪业利益相关者的观点

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

作者信息

Zhou Xiao, Knörr Andrea, Garcia Morante Beatriz, Correia-Gomes Carla, Dieste Pérez Lucia, Segalés Joaquim, Sibila Marina, Vilalta Carles, Burrell Alison, Tobias Tijs, Siegrist Michael, Bearth Angela

机构信息

Consumer Behavior, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Institute of Agrifood Research and Technology (IRTA), Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Cerdanyola del Vallès, Spain.

出版信息

Front Vet Sci. 2025 Jan 16;11:1490770. doi: 10.3389/fvets.2024.1490770. eCollection 2024.

Abstract

INTRODUCTION

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 ( = 202) in Spain, Ireland, and the Netherlands.

METHODS

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

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 toward 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 toward technology, and the current use of technology.

DISCUSSION

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.

摘要

引言

数据驱动的策略可能有助于对抗猪传染病的传播,并改善对潜在猪健康问题的早期检测。本研究旨在通过招募西班牙、爱尔兰和荷兰的利益相关者(n = 202),探讨他们对猪健康管理中数据记录和数据工具使用的个人看法。

方法

问卷聚焦于当前农场面临的挑战、农场数据记录的现状以及对两种模拟数据工具的评估。具体而言,“基准工具”旨在可视化单个农场的猪死亡率,以针对传染性呼吸道和胃肠道疾病的管理;“预警工具”旨在通过监测猪的咳嗽来发出警报,以针对传染性呼吸道疾病的管理。

结果

结果显示,呼吸道和胃肠道疾病以及攻击行为分别是最常被提及的健康挑战和福利挑战。大多数数据通过电子方式记录的频率高于纸质记录。总体而言,“基准工具”被认为对传染性呼吸道和胃肠道疾病的管理有用,“预警工具”被评估对传染性呼吸道疾病的管理有用。确定了这两种工具在感知有用性方面的几个障碍,例如缺乏背景信息、数据输入不便、互联网接入有限、依赖个人经验和观察、技术障碍以及对信息输出的不信任。在受教育程度高的参与者以及那些报告自己是整合者且对疾病控制技术持积极态度的人中,这两种工具的感知有用性更高。女性参与者和来自综合农场的参与者相比其他人,认为“预警工具”更有用。“预警工具”的感知有用性受到年龄和工作经验的负面影响,但受到数据记录的广泛性、对技术的积极态度以及当前技术使用情况的积极影响。

讨论

总之,参与者对使用数据工具支持他们对猪传染性呼吸道和胃肠道疾病的决策和管理持乐观态度。值得注意的是,数据工具不仅应传达数据对明智决策的价值,还应考虑利益相关者对数据工具的前提条件和需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b294/11782995/2a25c7ed517a/fvets-11-1490770-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验