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结合分子分型和空间模式分析,确定台湾一中等发病县的结核病高传播区。

Combining molecular typing and spatial pattern analysis to identify areas of high tuberculosis transmission in a moderate-incidence county in Taiwan.

机构信息

Department of Biochemical Science and Technology, National Chiayi University, Chiai-Yi, Taiwan.

National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan, Miaoli, Taiwan.

出版信息

Sci Rep. 2017 Jul 14;7(1):5394. doi: 10.1038/s41598-017-05674-6.

Abstract

In total, 303 randomly selected clinical Mycobacterium tuberculosis (MTB) isolates from 303 patients (collected January to December 2012) in central Taiwan were examined. The major lineages found were Beijing (N = 114, 37.62%), Haarlem (N = 76, 25.08%) and East African-Indian (EAI) (N = 42, 13.86%). Notably, younger persons (≤30 years old) were 6.58 times more likely to be infected with a Beijing genotype compared to older persons (>70 years) (p < 0.05). Combining molecular typing methods and geographical information system (GIS) analysis, we uncovered a twofold higher incidence of Beijing strains in a hotspot area (33%) compared to non-hotspot areas (17%). By 24 MIRU-VNTR typing, persons in clustered groups were 1.96 times more likely to be infected with a Beijing strain compared with non-clustered persons, suggesting recent spread and emergence of MTB. Finally, we observed a trend in which TB incidence increased as the density/concentration of analyzed environmental factors increased, suggesting that environmental factors are associated with TB transmission; however, only population density was found to be significantly associated with increased risk of TB (p < 0.05). Molecular typing methods combined with spatial analysis suggest possible TB transmission. Early intervention to interrupt transmission may be most effective if targeted to hot zones of TB.

摘要

总计对来自台湾中部 303 名患者(2012 年 1 月至 12 月采集)的 303 株随机选择的临床分枝杆菌结核(MTB)分离株进行了检查。发现的主要谱系是北京(N=114,37.62%),哈雷姆(N=76,25.08%)和东非-印度(EAI)(N=42,13.86%)。值得注意的是,与老年人(>70 岁)相比,年轻人(≤30 岁)感染北京基因型的可能性高 6.58 倍(p<0.05)。通过分子分型方法和地理信息系统(GIS)分析,我们发现热点地区(33%)北京株的发病率是非热点地区(17%)的两倍。通过 24 个 MIRU-VNTR 分型,与非聚类人群相比,聚类人群感染北京株的可能性高 1.96 倍,表明 MTB 的近期传播和出现。最后,我们观察到随着分析环境因素的密度/浓度的增加,TB 发病率呈上升趋势,表明环境因素与 TB 传播有关;但是,仅发现人口密度与增加的 TB 风险显著相关(p<0.05)。分子分型方法与空间分析相结合表明可能存在 TB 传播。如果针对 TB 的热点区域进行早期干预以中断传播,可能会最有效。

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