Selecting Efficient Farm-level Antimicrobial Stewardship Interventions from a One Health perspective

从“同一个健康”的角度选择高效的农场层面抗菌管理干预措施

基本信息

项目摘要

It is often suggested that interventions to prevent the development and transmission of antimicrobial resistance (AMR) should be targeted at the livestock sector. The potential costs to agriculture are often argued as "worth it" for the long-term human (and animal) health benefits. However, a quantification of the relative benefits and costs for each system is lacking.Through shared learning across partners and secondary use of existing data, we plan on answering the question 'What farm-level antimicrobial usage (AMU) interventions are most efficient at the national-level, given different scenarios of human health, AMU and AMR, for England, Denmark and Senegal?', defining efficiency as the optimisation of resource use, given a set budget and a set of desired outcomes.We will use statistical, mathematical and economic modelling to construct a compartmental model that can assess (i) the interplay between animal, environment and human transmission of AMR, and (ii) the interplay between costs and benefits across One Health. We will analyse the impact of previously implemented intervention to inform modelling of future interventions under different AMR scenarios. Settings, costs and benefits will be specifically defined via expert elicitation through a stakeholder-led 'knowledge hub'.This work will not only provide explicit impact estimates and ranking for a range of farm-level AMU interventions, it will also provide insight into uncertainty, highlighting where future research could be most valuable in understanding AMR intervention efficiency from a One Health perspective.
人们经常建议,预防抗菌素耐药性(AMR)产生和传播的干预措施应以畜牧业为目标。农业的潜在成本通常被认为是“值得的”,因为它对人类(和动物)的长期健康有益。然而,缺乏对每个系统的相对收益和成本的量化。通过合作伙伴之间的共享学习和对现有数据的二次利用,我们计划回答以下问题:“考虑到英国、丹麦和塞内加尔的人类健康、抗生素使用量和抗生素耐药性的不同情况,在国家一级,哪些农场层面的抗生素使用(AMU)干预措施最有效?”,将效率定义为在给定预算和预期结果的情况下优化资源使用。我们将使用统计、数学和经济建模来构建一个分区模型,该模型可以评估(i)抗微生物药物耐药性动物、环境和人类传播之间的相互作用,以及(ii)“同一个健康”的成本和收益之间的相互作用。我们将分析以前实施的干预措施的影响,为不同抗菌素耐药性情景下未来干预措施的建模提供信息。将通过利益相关者主导的“知识中心”通过专家的启发来具体确定环境、成本和收益。这项工作不仅将为一系列农场层面的抗菌素耐药性干预措施提供明确的影响估计和排名,还将提供对不确定性的洞察,突出未来研究在从“一个健康”的角度理解抗菌素耐药性干预效率方面最有价值的地方。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The contribution of animal antibiotic use to antibiotic resistance in humans: Panel evidence from Denmark
动物抗生素的使用对人类抗生素耐药性的贡献:来自丹麦的小组证据
  • DOI:
    10.1101/2024.01.10.24301091
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emes E
  • 通讯作者:
    Emes E
Drivers of Antibiotic Use in Semi-Intensive Poultry Farms: Evidence from a Survey in Senegal.
半集约化家禽养殖场抗生素使用的驱动因素:来自塞内加尔调查的证据。
  • DOI:
    10.3390/antibiotics12030460
  • 发表时间:
    2023-02-24
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emes E;Faye A;Naylor N;Belay D;Ngom B;Fall AG;Knight G;Dione M
  • 通讯作者:
    Dione M
The relationship between antibiotic use in humans and poultry and antibiotic resistance prevalence in humans: an ecological regression study of Campylobacter in the UK
人类和家禽抗生素使用与人类抗生素耐药性流行之间的关系:英国弯曲杆菌的生态回归研究
  • DOI:
    10.1101/2024.01.10.24301092
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emes E
  • 通讯作者:
    Emes E
Quantifying the Relationship between Antibiotic Use in Food-Producing Animals and Antibiotic Resistance in Humans.
  • DOI:
    10.3390/antibiotics11010066
  • 发表时间:
    2022-01-06
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emes D;Naylor N;Waage J;Knight G
  • 通讯作者:
    Knight G
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Gwenan Knight其他文献

A successful UN High-Level Meeting on antimicrobial resistance must build on the 2023 UN High-Level Meeting on tuberculosis
一次成功的联合国抗菌素耐药性问题高级别会议必须以 2023 年联合国结核病问题高级别会议为基础
  • DOI:
    10.1016/s2214-109x(24)00229-8
  • 发表时间:
    2024-08-01
  • 期刊:
  • 影响因子:
    18.000
  • 作者:
    Daniela Cirillo;Richard Anthony;Sebastien Gagneux;C Robert Horsburgh;Rumina Hasan;Saffiatou Darboe;Rafael Laniado-Laborin;Ari Probandari;Nestani Tukvadze;Ricardo A Arcêncio;John S Bimba;Susanna Brighenti;Dumitru Chesov;Chen-Yuan Chiang;Gulmira Kalmambetova;Gwenan Knight;Olha Konstantynovska;Alexandra Kruse;Christoph Lange;Harriet Mayanja-Kizza;Janika Hauser
  • 通讯作者:
    Janika Hauser

Gwenan Knight的其他文献

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{{ truncateString('Gwenan Knight', 18)}}的其他基金

Colliding crises: antimicrobial resistance and ageing
危机碰撞:抗菌素耐药性和衰老
  • 批准号:
    MR/W026643/1
  • 财政年份:
    2022
  • 资助金额:
    $ 58.66万
  • 项目类别:
    Fellowship
Nosocomial transmission of SARS-CoV-2
SARS-CoV-2 的医院传播
  • 批准号:
    MR/V028456/1
  • 财政年份:
    2020
  • 资助金额:
    $ 58.66万
  • 项目类别:
    Research Grant
The dynamics of drug resistance within hospital populations of Gram-negative bacteria
医院革兰氏阴性菌群体的耐药动态
  • 批准号:
    MR/P014658/1
  • 财政年份:
    2017
  • 资助金额:
    $ 58.66万
  • 项目类别:
    Fellowship

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