School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Clin Infect Dis. 2021 Jun 15;72(12):2187-2195. doi: 10.1093/cid/ciaa420.
In the last decade, tuberculosis (TB) incidence among Inuit in the Canadian Arctic has been rising. Our aim was to better understand the transmission dynamics of TB in this remote region of Canada using whole-genome sequencing.
Isolates from patients who had culture-positive pulmonary TB in Iqaluit, Nunavut, between 2009 and 2015 underwent whole-genome sequencing (WGS). The number of transmission events between cases within clusters was calculated using a threshold of a ≤3 single nucleotide polymorphism (SNP) difference between isolates and then combined with detailed epidemiological data using a reproducible novel algorithm. Social network analysis of epidemiological data was used to support the WGS data analysis.
During the study period, 140 Mycobacterium tuberculosis isolates from 135 cases were sequenced. Four clusters were identified, all from Euro-American lineage. One cluster represented 62% of all cases that were sequenced over the entire study period. In this cluster, 2 large chains of transmission were associated with 3 superspreading events in a homeless shelter. One of the superspreading events was linked to a nonsanctioned gambling house that resulted in further transmission. Shelter to nonshelter transmission was also confirmed. An algorithm developed for the determination of transmission events demonstrated very good reproducibility (κ score .98, 95% confidence interval, .97-1.0).
Our study suggests that socioeconomic factors, namely residing in a homeless shelter and spending time in a gambling house, combined with the superspreading event effect may have been significant factors explaining the rise in cases in this predominantly Inuit Arctic community.
在过去十年中,加拿大北极地区的因纽特人结核病(TB)发病率一直在上升。我们的目的是使用全基因组测序更好地了解加拿大这个偏远地区的结核病传播动态。
在 2009 年至 2015 年期间,在努纳武特伊卡卢伊特,对培养阳性的肺结核患者的分离株进行全基因组测序(WGS)。通过在分离株之间的 SNP 差异≤3 的阈值计算簇内病例之间的传播事件数量,然后使用可重复的新型算法将其与详细的流行病学数据结合起来。对流行病学数据进行社会网络分析,以支持 WGS 数据分析。
在研究期间,对来自 135 例病例的 140 株结核分枝杆菌分离株进行了测序。确定了四个集群,均来自欧裔美国谱系。一个集群代表了整个研究期间测序的所有病例的 62%。在这个集群中,有 2 个大的传播链与无家可归者收容所中的 3 个超级传播事件相关。超级传播事件之一与一个未经批准的赌场有关,导致了进一步的传播。收容所与非收容所之间的传播也得到了证实。为确定传播事件而开发的算法具有非常好的重现性(κ 评分.98,95%置信区间,.97-1.0)。
我们的研究表明,社会经济因素,即居住在无家可归者收容所和在赌场度过的时间,以及超级传播事件效应可能是解释该主要因纽特人北极社区病例上升的重要因素。