Suppr超能文献

历史事件和近期事件影响了高发病率地区北京基因型结核分枝杆菌菌株的疾病动态。

Historic and recent events contribute to the disease dynamics of Beijing-like Mycobacterium tuberculosis isolates in a high incidence region.

作者信息

Richardson M, van Lill S W P, van der Spuy G D, Munch Z, Booysen C N, Beyers N, van Helden P D, Warren R M

机构信息

Medical Research Council Centre for Molecular and Cellular Biology, Department of Biochemistry, University of Stellenbosch, Tygerberg, South Africa.

出版信息

Int J Tuberc Lung Dis. 2002 Nov;6(11):1001-11.

Abstract

SETTING

A retrospective study in an urban setting with a high tuberculosis incidence.

OBJECTIVE

To study the molecular epidemiology and disease dynamics of a prevalent Mycobacterium tuberculosis strain family, F29, a subset of the Beijing strains.

DESIGN

Multi-locus DNA fingerprinting and genomic analysis was used to characterise F29 isolates. Demographic and molecular epidemiologic data were correlated with those of other isolates from the setting. The geographic locations of five F29 strain clusters were plotted using a geographic information system (GIS) and an index for geographic distribution was calculated. Their cumulative temporal occurrence was also plotted.

RESULTS

The genomic similarity of F29 to the Beijing-strains was confirmed. A high degree of clustering predicted high disease transmission. Spatial distribution was mostly widespread except for one cluster. Smaller foci of transmission were observed. The temporal spread showed ongoing transmission.

CONCLUSION

F29 belongs to the Beijing strain group. The prevalence and high degree of strain clustering, with limited geographic clustering, indicates that F29 strains are endemic in the study community. However, recent epidemiologic events also contributed to the disease spread. The combination of molecular epidemiologic, spatial and temporal data has enhanced our understanding of the disease dynamics of Beijing strains in our study community.

摘要

背景

在结核病高发的城市环境中进行的一项回顾性研究。

目的

研究流行的结核分枝杆菌菌株家族F29(北京菌株的一个子集)的分子流行病学和疾病动态。

设计

采用多位点DNA指纹图谱和基因组分析对F29分离株进行特征分析。将人口统计学和分子流行病学数据与该环境中其他分离株的数据进行关联。使用地理信息系统(GIS)绘制五个F29菌株簇的地理位置,并计算地理分布指数。还绘制了它们的累计时间出现情况。

结果

证实F29与北京菌株具有基因组相似性。高度聚集预示着高疾病传播率。除一个簇外,空间分布大多较为广泛。观察到较小的传播焦点。时间传播显示传播仍在进行。

结论

F29属于北京菌株组。其流行率和高度的菌株聚集,地理聚集有限,表明F29菌株在研究社区中呈地方性流行。然而,近期的流行病学事件也促成了疾病传播。分子流行病学、空间和时间数据的结合增强了我们对研究社区中北京菌株疾病动态的理解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验