Antibiotic resistance and One Health: a mapping project

作者
Sabiha Y. Essack
出处
期刊:The Lancet Global Health [Elsevier BV]
卷期号:6: S27-S27 被引量:12
标识
DOI:10.1016/s2214-109x(18)30156-6
摘要

Background The One Health approach is a global strategy that encourages interdisciplinary collaboration on health at the human–animal–environmental interface. Antibiotic resistance is a direct consequence of the selection pressure from antibiotic use in humans, animals, and the environment, requiring a One Health approach towards its containment. The high HIV/AIDS burden and other risk factors for communicable diseases in South Africa results in a high incidence of infectious diseases, engendering extensive antibiotic use and subsequent resistance. Two-thirds of the antimicrobials sold for animal use are used in growth promotion. Although the burden of antibiotic resistance has not been quantified, available evidence indicates that it is escalating in humans, animals, and the environment. There is thus a need to quantify the burden of antibiotic resistance with a view to implementing measures for its containment on biomedical, clinical, sociobehavioural, drug discovery/diagnostics, and policy grounds. Methods This project delineates the molecular epidemiology, nature, and extent of antibiotic resistance in the One Health context in the uMgungundlovu District in KwaZulu-Natal, South Africa. The aim is to map the fluidity of antibiotic-resistant bacterial clones, antibiotic resistance genes, and their associated mobile genetic elements within and between the human, animal, and environmental health sectors by (1) instituting surveillance programmes on antibiotic use and resistance in human, animal, and environmental health; (2) demonstrating the phenotypic and genotypic mechanisms of antibiotic resistance by sensitivity testing and appropriate screening tests and whole-genome sequencing; and (3) establishing the clonality and genetic determinants of resistance by multi-locus sequence typing and whole-genome sequencing. Findings This project began in 2017. Isolates have been collected from patients, chicken, water, and soil. The molecular epidemiology of their antibiotic resistance profiles will be determined. The project will (1) provide a proxy surveillance system for antibiotic resistance in humans and food animals and (2) unambiguously give credence to the One Health approach for the containment of antibiotic resistance mooted in the UN General Assembly Political Declaration on Antimicrobial Resistance and by the tripartite alliance of the WHO, the Food and Agriculture Organization, and the World Organisation for Animal Health using a specific conceptual framework. Interpretation Successful proof of concept will require validation of the conceptual framework in different countries and health systems with different levels of antibiotic resistance and will thus be tested in high-income, middle-income, and low-income countries with different antibiotic resistance burdens. Funding South African National Research Foundation, South African Medical Research Council.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
star完成签到,获得积分10
1秒前
李爱国应助刘威采纳,获得10
1秒前
1秒前
高高白曼舞完成签到,获得积分10
1秒前
您吃了吗完成签到,获得积分10
2秒前
cloud发布了新的文献求助10
2秒前
CipherSage应助alexproyas采纳,获得10
2秒前
兴武发布了新的文献求助10
3秒前
3秒前
3秒前
yeruotong完成签到,获得积分10
4秒前
米果完成签到,获得积分10
4秒前
4秒前
piggyming发布了新的文献求助10
4秒前
ZheyuYao完成签到,获得积分10
5秒前
5秒前
酸菜萌萌鱼完成签到,获得积分10
5秒前
Running完成签到 ,获得积分10
5秒前
阳光完成签到,获得积分10
5秒前
领导范儿应助待鸣采纳,获得10
5秒前
坚强的凝荷完成签到,获得积分10
6秒前
6秒前
Owen应助朴实小甜瓜采纳,获得10
6秒前
6秒前
7秒前
郭小白发布了新的文献求助10
8秒前
Polly完成签到,获得积分10
8秒前
lyx发布了新的文献求助10
8秒前
8秒前
8秒前
超级欧皇的好宝宝完成签到,获得积分10
8秒前
米媛媛完成签到 ,获得积分10
8秒前
科研小趴菜完成签到,获得积分10
9秒前
yeruotong发布了新的文献求助10
9秒前
arui发布了新的文献求助10
9秒前
9秒前
9秒前
科研小白鼠完成签到 ,获得积分10
10秒前
AAAA完成签到,获得积分10
10秒前
Tao发布了新的文献求助10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Nine new races of Peronospora manshurica found on soybeans in the Midwest 1000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Eudora Welty and Modern Media 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7773564
求助须知:如何正确求助?哪些是违规求助? 9315645
关于积分的说明 20346500
捐赠科研通 7359234
什么是DOI,文献DOI怎么找? 3317215
关于科研通互助平台的介绍 2465825
邀请新用户注册赠送积分活动 2332323