Transmission Networks of Extended-spectrum beta-lactamase producing-Enterobacteriaceae in communities and hospitals in rural sub-Sahara Africa

撒哈拉以南非洲农村社区和医院中产生超广谱 β-内酰胺酶的肠杆菌科细菌的传播网络

• 批准号: 418004466
• 负责人: Privatdozent Dr. Daniel Eibach
• 金额: --
• 依托单位: Bundesministerium für wirtschaftliche Zusammenarbeit und Entwicklung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/418004466?language=en
• 关键词: Transmission; Networks; Extended; spectrum; beta; Transmission; Networks; Extended; spectrum; beta

Current models predict a tremendous increase of antimicrobial resistance (AMR) for the African continent. An annual 4.1 million deaths and a mortality rate of >10/100,000 related to AMR are estimated for the year 2050. In 2016 the Bernhard-Nocht-Institute for Tropical Medicine and the University Medical Center Hamburg-Eppendorf (both Hamburg, Germany) in collaboration with the Kumasi Centre for Collaborative Research in Tropical Medicine (Kumasi, Ghana) initiated a screening for Extended-spectrum beta-lactamase (ESBL)-producing bacteria at hospital admission and discharge in a rural Ghanaian hospital. This study will be able to provide reliable data on the prevalence and the frequency of nosocomial transmission events of these multidrug resistant bacteria. At the same time, families, their neighbours and animal contacts within the hospital catchment area were screened for ESBL carriage with the aim to collect data on the prevalence outside the hospital boundaries. Building on this surveillance project (already financed), we are now proposing to sequence the genomes and relevant plasmids of all ESBL-producing isolates collected from the hospital (n=749) and the community (n=251). By comparing genomes and plasmids transmission networks within and outside of the hospital will be established, and the potential spread of nosocomial pathogens into the community can be demonstrated. The results will be used to model the dissemination of AMR pathogens in rural sub-Sahara Africa. Further, the impact of public health interventions can be modelled in order to choose effective measure to tackle the spread of AMR.

当前模型预测非洲大陆抗菌素耐药性（AMR）的大幅增加。估计2050年的年度410万人死亡和与AMR相关的死亡率> 10/100,000。2016年，Bernhard-Nocht-Nocht-Nocht-Nocht-Nocht-Institute和Hamburg-Eppendorf（均为汉堡，德国）与Kumasi Center for in Kumasi Center for in Kumasi Center for Tropical Medicine（Kumasi）合作（Kumasi），ghana，ghana，ghana，ghana a ghana，ghana a ghana a ghana a ghana， β-内酰胺酶（ESBL） - 在加纳乡村医院入院和出院时产生细菌。这项研究将能够提供有关这些多药耐药细菌的医院传播事件的患病率和频率的可靠数据。同时，对医院集水区内的家庭，邻居和动物接触进行了筛查，以进行ESBL运输，目的是收集有关医院边界外的患病率的数据。在此监视项目（已经融资）的基础上，我们现在建议对从医院收集的所有ESBL产生分离株的基因组和相关质粒进行测序（n = 749）和社区（n = 251）。通过比较医院内部和外部的基因组和质粒传输网络，可以证明医院病原体的潜在传播。结果将用于模拟非洲农村地区AMR病原体的传播。此外，可以对公共卫生干预措施的影响进行建模，以便选择有效的措施来应对AMR的传播。