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了解来自不同学科的学者的兴趣,以确定一个涉及农业食品系统中从农场到餐桌各利益相关方的英国跨学科网络在抗菌药物耐药性方面的潜在重点:一项在线调查。

Understanding the interests of academics from diverse disciplines to identify the prospective focus for a UK-based transdisciplinary network involving farm-to-fork stakeholders on antimicrobial resistance in agrifood systems: An online survey.

作者信息

McIntyre K Marie, Khan Maha, Betson Martha, Brunton Lucy, Degiovanni Hernan Botero, Desbois Andrew P, Eltholth Mahmoud, Hurley Paul, Morgans Lisa, Pearl John E, Sakrabani Ruben, Shortall Orla, Watson Katharina, Cole Jennifer

机构信息

Modelling, Evidence and Policy Group, School of Natural and Environmental Sciences, Newcastle University, UK.

Department of Health Studies, Royal Holloway University of London, UK.

出版信息

One Health. 2024 Aug 26;19:100884. doi: 10.1016/j.onehlt.2024.100884. eCollection 2024 Dec.

DOI:10.1016/j.onehlt.2024.100884
PMID:39281347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11402424/
Abstract

Antimicrobial resistance (AMR) evolution and onward transmission of resistance genes is impacted by interrelated biological and social drivers, with evidence and impacts observed across human, animal and environmental One Health domains. Systems-based research examining how food production impacts on AMR in complex agrifood systems is lacking, with little written on management approaches in the UK that might prevent and respond to this challenge. One approach is the creation of a transdisciplinary network to enhance capacity, capability and collaboration between agrifood-focused disciplines and stakeholders. This co-creation platform for network-wide systems-based activities would reduce inefficiencies in AMR-related activities around agrifood, providing a cross-cutting, cohesive community to deliver transformational guidance on relevant, practical agrifood solutions that add value by reducing AMR, antimicrobial usage and associated costs, and decreasing resultant environmental contamination by prioritising challenges, sharing knowledge and best practice, and co-creating practical solutions with key stakeholders. An online survey determined prospective network focus, structure and priorities, with responses analysed using mixed methods. Survey results suggested respondents have interests in synthesising data using systems-approaches and using certain disciplines such as 'social sciences' within network activities. There were disconnects in how and whom to work with on this, with generalised use of 'social science/scientists' but lack of disciplinary understanding (e.g., anthropology, sociology) suggesting disciplinary differences awareness-training is useful. A similar generalisation is seen for mathematics/statistics. There are strong interests in working with food system practitioners (e.g., farmers/vets), providing opportunities for farm/field visits/knowledge exchange, and human health, reflecting the need for farm-to-fork understanding of impacts. There were notable mentions of policy/governance, emphasising translational research desires to create meaningful change. Disciplines/fields did not always align with identified interests e.g., systems and implementation science, suggesting the utility of network activity around introducing these disciplines e.g., methodology-focused rather than subject-focused conferences exploring lateral thinking about subjects. We suggest starting by developing understanding of the most important research questions by working with stakeholders, then working back to how we would achieve desirable project outcomes and who else is needed for this.

摘要

抗菌药物耐药性(AMR)的演变以及耐药基因的进一步传播受到相互关联的生物和社会驱动因素的影响,在人类、动物和环境“同一个健康”领域都有相关证据和影响。目前缺乏基于系统的研究来探讨食品生产如何影响复杂农业食品系统中的AMR,关于英国可能预防和应对这一挑战的管理方法的文献也很少。一种方法是创建一个跨学科网络,以增强以农业食品为重点的学科与利益相关者之间的能力、实力和协作。这个用于全网络基于系统的活动的共同创建平台将减少农业食品领域与AMR相关活动的低效率,提供一个贯穿各领域、有凝聚力的团体,就相关实用的农业食品解决方案提供变革性指导,这些解决方案通过减少AMR、抗菌药物使用及相关成本,并通过优先处理挑战、共享知识和最佳实践以及与关键利益相关者共同创建实际解决方案来减少由此产生的环境污染,从而增加价值。一项在线调查确定了未来网络的重点、结构和优先事项,并使用混合方法对回复进行了分析。调查结果表明,受访者有兴趣使用系统方法综合数据,并在网络活动中使用某些学科,如“社会科学”。在如何开展这项工作以及与谁合作方面存在脱节,普遍提及“社会科学/科学家”,但缺乏学科理解(如人类学、社会学),这表明学科差异意识培训很有用。在数学/统计学方面也有类似的普遍情况。人们对与食品系统从业者(如农民/兽医)合作、提供农场/实地考察/知识交流机会以及人类健康有着浓厚兴趣,这反映了从农场到餐桌了解影响的必要性。政策/治理也被显著提及,强调转化研究渴望创造有意义的变革。学科/领域并不总是与确定的兴趣一致,例如系统和实施科学,这表明围绕引入这些学科开展网络活动的效用,例如以方法为重点而非以主题为重点的会议,探索对主题的横向思维。我们建议首先通过与利益相关者合作来了解最重要的研究问题,然后回过头来思考我们将如何实现理想的项目成果以及还需要哪些人参与。

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本文引用的文献

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Transdisciplinary approaches to addressing factors that influence antimicrobial use in dairy cattle: A scoping review.解决影响奶牛抗菌药物使用因素的跨学科方法:一项范围综述。
Heliyon. 2024 Feb 8;10(4):e25550. doi: 10.1016/j.heliyon.2024.e25550. eCollection 2024 Feb 29.
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Leveraging collaborative research networks against antimicrobial resistance in Asia.利用亚洲合作研究网络对抗抗菌素耐药性。
Front Public Health. 2023 Dec 7;11:1191036. doi: 10.3389/fpubh.2023.1191036. eCollection 2023.
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Antimicrobial resistance as a super wicked problem: how do we engage the public to be part of the solution.
抗菌药物耐药性作为一个超级棘手的问题:我们如何让公众参与进来成为解决方案的一部分。
Infect Prev Pract. 2023 Nov 14;5(4):100314. doi: 10.1016/j.infpip.2023.100314. eCollection 2023 Dec.
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Complexities in understanding antimicrobial resistance across domesticated animal, human, and environmental systems.理解家养动物、人类和环境系统中抗微生物药物耐药性的复杂性。
Ann N Y Acad Sci. 2019 Apr;1441(1):17-30. doi: 10.1111/nyas.14036.
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