范围(计算机科学)
抗性(生态学)
抗生素耐药性
抗菌剂
心理干预
医学
抗药性
贫穷
环境卫生
重症监护医学
微生物学
生物
经济增长
计算机科学
抗生素
护理部
生态学
程序设计语言
经济
作者
Iruka N. Okeke,Marlieke E.A. de Kraker,Thomas P. Van Boeckel,Chirag K. Kumar,Heike Schmitt,Ana Cristina Gales,Silvia Bertagnolio,Mike Sharland,Ramanan Laxminarayan
出处
期刊:The Lancet
[Elsevier]
日期:2024-05-23
卷期号:403 (10442): 2426-2438
被引量:30
标识
DOI:10.1016/s0140-6736(24)00876-6
摘要
Each year, an estimated 7·7 million deaths are attributed to bacterial infections, of which 4.95 million are associated with drug-resistant pathogens, and 1·27 million are caused by bacterial pathogens resistant to the antibiotics available. Access to effective antibiotics when indicated prolongs life, reduces disability, reduces health-care expenses, and enables access to other life-saving medical innovations. Antimicrobial resistance undoes these benefits and is a major barrier to attainment of the Sustainable Development Goals, including targets for newborn survival, progress on healthy ageing, and alleviation of poverty. Adverse consequences from antimicrobial resistance are seen across the human life course in both health-care-associated and community-associated infections, as well as in animals and the food chain. The small set of effective antibiotics has narrowed, especially in resource-poor settings, and people who are very young, very old, and severely ill are particularly susceptible to resistant infections. This paper, the first in a Series on the challenge of antimicrobial resistance, considers the global scope of the problem and how it should be measured. Robust and actionable data are needed to drive changes and inform effective interventions to contain resistance. Surveillance must cover all geographical regions, minimise biases towards hospital-derived data, and include non-human niches.
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