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从畜群健康到公共卫生:奶牛场对抗抗生素耐药性的数字工具

From Herd Health to Public Health: Digital Tools for Combating Antibiotic Resistance in Dairy Farms.

作者信息

Neculai-Valeanu Andra-Sabina, Ariton Adina-Mirela, Radu Ciprian, Porosnicu Ioana, Sanduleanu Catalina, Amariții Gabriela

机构信息

Research and Development Station for Cattle Breeding Dancu, 707252 Iasi, Romania.

The Academy of Romanian Scientists, Str. Ilfov No. 3, Sector 5, 050045 Bucharest, Romania.

出版信息

Antibiotics (Basel). 2024 Jul 9;13(7):634. doi: 10.3390/antibiotics13070634.

DOI:10.3390/antibiotics13070634
PMID:39061316
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11273838/
Abstract

The emergence of antimicrobial resistance (AMR) is a significant threat to global food security, human health, and the future of livestock production. Higher rates of antimicrobial use in dairy farming and the sheer lack of new antimicrobials available for use focused attention on the question of how the dairy production sector contributed to the development of AMR and paved the path toward taking action to curtail it on the targeted type of farms. This paper aims to provide an introduction to a phenomenon that has gained considerable attention in the recent past due to its ever-increasing impact, the use of antimicrobial drugs, the emergence of antimicrobial resistance (AMR) on dairy farms, and seeks to discuss the possibilities of approaches such as digital health monitoring and precision livestock farming. Using sensors, data, knowledge, automation, etc., digital health monitoring, as well as Precision Livestock Farming (PLF), is expected to enhance health control and minimize disease and antimicrobial usage. The work presents a literature review on the current status and trends of AMR in dairy farms, an understanding of the concept of digital health monitoring and PLF, and the presentation and usefulness of digital health monitoring and PLF in preventing AMR. The study also analyses the strengths and weaknesses of adopting and incorporating digital technologies and artificial intelligence for dairy farming and presents areas for further study and level of use.

摘要

抗菌药物耐药性(AMR)的出现对全球粮食安全、人类健康以及畜牧业的未来构成了重大威胁。奶牛养殖中抗菌药物的高使用率以及可用新型抗菌药物的严重短缺,使得人们将关注焦点集中在奶牛生产部门如何促成了AMR的发展,以及如何在目标类型的农场采取行动遏制AMR这一问题上。本文旨在介绍一种因影响日益增大而在近期备受关注的现象,即奶牛场中抗菌药物的使用、抗菌药物耐药性(AMR)的出现,并探讨数字健康监测和精准畜牧业等方法的可能性。借助传感器、数据、知识、自动化等手段,数字健康监测以及精准畜牧业(PLF)有望加强健康管理,减少疾病和抗菌药物的使用。这项工作对奶牛场AMR的现状和趋势进行了文献综述,阐述了数字健康监测和PLF的概念,以及数字健康监测和PLF在预防AMR方面的作用和实用性。该研究还分析了在奶牛养殖中采用和整合数字技术及人工智能的优势与劣势,并提出了有待进一步研究的领域和应用水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3f/11273838/8e04d0bcd091/antibiotics-13-00634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3f/11273838/d527d424ddb6/antibiotics-13-00634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3f/11273838/8e04d0bcd091/antibiotics-13-00634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3f/11273838/d527d424ddb6/antibiotics-13-00634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3f/11273838/8e04d0bcd091/antibiotics-13-00634-g002.jpg

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