FARM interventions to Control Antimicrobial ResistancE
控制抗生素耐药性的农场干预措施
基本信息
- 批准号:MR/W031264/1
- 负责人:
- 金额:$ 51.86万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The main FARM-CARE project focuses on exploring techniques for controlling the spread of antimicrobial resistance (AMR) in pig farms. Pigs are the main contributor to antimicrobial use (AMU) in farm animals and a recognized source of AMR to farm workers, the community and the environment. The project builds upon the established notion that stress is a major driver for pig disease, which in turn contributes to AMU. Our hypothesis is that AMR spread can be controlled by firstly limiting the common practice of mixing, which is a recognized cause of stress and disease in pigs, and secondly, by applying biosecurity measures to prevent AMR transmission to farm workers and the community. We aim to understand the impact of these two interventions on AMU and AMR reduction, and to develop two complementary interventions based on machine learning. The project will assess the cost-effectiveness of each intervention from the perspective of the farmers, the environment and the wider society. The UK team will focus on detecting high-risk piglets using facial imaging and exploring patterns in metagenomics and metadata associated with post-weaning diarrhoea.FARM-CARE is a multi-actor project involving three higher education institutions, three public organisations, and one private company with established national and international networks that will facilitate dissemination and stakeholder involvement. Each partner brings one or more areas of expertise with clearly defined roles and responsibilities. Participation by an LMIC partner, that represents over 90% of pig farmers in Colombia, will allow assessment of the farm interventions in a different production setting and offer capacity building in this country.
FARM-CARE主要项目的重点是探索控制猪场抗菌素耐药性(AMR)传播的技术。猪是农场动物抗菌药物使用(AMU)的主要贡献者,也是农场工人、社区和环境公认的AMR来源。该项目建立在既定的概念,即压力是猪疾病的主要驱动因素,这反过来又有助于AMU。我们的假设是,AMR传播可以通过以下方式控制:首先限制混合的常见做法,这是猪的应激和疾病的公认原因;其次,通过应用生物安全措施防止AMR传播给农场工人和社区。我们的目标是了解这两种干预措施对AMU和AMR减少的影响,并开发两种基于机器学习的互补干预措施。该项目将从农民、环境和广大社会的角度评估每项干预措施的成本效益。英国团队将专注于使用面部成像检测高风险仔猪,并探索与断奶后腹泻相关的宏基因组学和元数据模式。FARM-CARE是一个多参与者项目,涉及三所高等教育机构,三个公共组织和一家私营公司,建立了国家和国际网络,将促进传播和利益相关者参与。每个合作伙伴都有一个或多个领域的专业知识,并有明确的作用和责任。代表哥伦比亚90%以上养猪户的LMIC合作伙伴的参与,将允许在不同的生产环境中评估农场干预措施,并在该国提供能力建设。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Melvyn Smith其他文献
Viral lower respiratory tract infections and preterm infants’ healthcare utilisation
病毒性下呼吸道感染与早产儿的医疗保健利用
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:3.6
- 作者:
S. Drysdale;Mireia Alcazar;T. Wilson;Melvyn Smith;M. Zuckerman;J. Peacock;S. Johnston;A. Greenough - 通讯作者:
A. Greenough
Barriers limiting dentists' active involvement in smoking cessation.
限制牙医积极参与戒烟的障碍。
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:1.6
- 作者:
R. Watt;P. Mcglone;J. Dykes;Melvyn Smith - 通讯作者:
Melvyn Smith
Diagnosis of genital herpes by real time PCR in routine clinical practice
常规临床实践中实时 PCR 诊断生殖器疱疹
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:3.6
- 作者:
M. Ramaswamy;C. Mcdonald;Melvyn Smith;Daniel Thomas;S. Maxwell;M. Tenant‐Flowers;A. Geretti - 通讯作者:
A. Geretti
THORAXJNL148023-149898 468..473
胸部JNL148023-149898 468..473
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
S. Drysdale;T. Wilson;M. Alcázar;S. Broughton;M. Zuckerman;Melvyn Smith;G. Rafferty;S. Johnston;A. Greenough - 通讯作者:
A. Greenough
Development of a real-time probe-based PCR assay for the diagnosis of Pneumocystis pneumonia.
开发基于实时探针的 PCR 检测方法,用于诊断肺孢子虫肺炎。
- DOI:
10.1080/13693780412331282340 - 发表时间:
2005 - 期刊:
- 影响因子:2.9
- 作者:
M. Strutt;Melvyn Smith - 通讯作者:
Melvyn Smith
Melvyn Smith的其他文献
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{{ truncateString('Melvyn Smith', 18)}}的其他基金
Pig ID: developing a deep learning machine vision system to track pigs using individual biometrics
Pig ID:开发深度学习机器视觉系统,利用个体生物识别技术跟踪猪
- 批准号:
BB/X001385/1 - 财政年份:2023
- 资助金额:
$ 51.86万 - 项目类别:
Research Grant
Investigating automatic detection of emotion in biometrically identified pig faces using machine learning
使用机器学习研究生物识别猪脸中的情绪自动检测
- 批准号:
BB/S002138/1 - 财政年份:2018
- 资助金额:
$ 51.86万 - 项目类别:
Research Grant
16AGRITECHCAT5: GrassVision: Automated application of herbicides to broad-leaf weeds in grass crops
16AGRITECHCAT5:GrassVision:对禾本科作物阔叶杂草自动施用除草剂
- 批准号:
BB/P005039/1 - 财政年份:2016
- 资助金额:
$ 51.86万 - 项目类别:
Research Grant
13TSB_AgriFood: Precision Cow Health Management
13TSB_AgriFood:精准奶牛健康管理
- 批准号:
BB/L017407/1 - 财政年份:2013
- 资助金额:
$ 51.86万 - 项目类别:
Research Grant
Face Recognition using Photometric Stereo
使用光度立体进行人脸识别
- 批准号:
EP/E028659/1 - 财政年份:2007
- 资助金额:
$ 51.86万 - 项目类别:
Research Grant
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儿童期受虐经历影响成年人群幸福感:行为、神经机制与干预研究
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