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统计学方法在低发病率环境中检测地方性聚集性结核病爆发。

Statistical Method to Detect Tuberculosis Outbreaks among Endemic Clusters in a Low-Incidence Setting.

出版信息

Emerg Infect Dis. 2018 Mar;24(3):573-575. doi: 10.3201/eid2403.171613.

DOI:10.3201/eid2403.171613
PMID:29460749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5823347/
Abstract

We previously reported use of genotype surveillance data to predict outbreaks among incident tuberculosis clusters. We propose a method to detect possible outbreaks among endemic tuberculosis clusters. We detected 15 possible outbreaks, of which 10 had epidemiologic data or whole-genome sequencing results. Eight outbreaks were corroborated.

摘要

我们之前曾报告过使用基因型监测数据来预测新发生的结核病例群集的暴发。我们提出了一种用于检测地方性结核病例群集可能暴发的方法。我们检测到 15 个可能的暴发,其中 10 个有流行病学数据或全基因组测序结果。8 个暴发得到了证实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/5823347/b440ab29232e/17-1613-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/5823347/7578885cccb0/17-1613-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/5823347/b440ab29232e/17-1613-F2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/5823347/7578885cccb0/17-1613-F1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/5823347/b440ab29232e/17-1613-F2.jpg

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