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解释为何家庭和已知社会接触者之间传播导致的结核病比例较低。

An explanation for the low proportion of tuberculosis that results from transmission between household and known social contacts.

机构信息

London School of Hygiene and Tropical Medicine, London, UK.

出版信息

Sci Rep. 2018 Mar 29;8(1):5382. doi: 10.1038/s41598-018-23797-2.

Abstract

We currently have little idea where Mycobacterium tuberculosis (Mtb) transmission occurs in high incidence settings. Molecular studies suggest that only around 8-19% of transmission to adults occurs within-household, or between known social-contacts. This contrasts with findings from social-contact studies, which show that substantial proportions of contact time occur in households, workplaces and schools. A mathematical model of social-contact behaviour and Mtb transmission was developed, incorporating variation in susceptibility and infectiousness. Three types of contact were simulated: household, repeated (individuals outside household contacted repeatedly with daily-monthly frequency) and non-repeated. The model was parameterised using data from Cape Town, South Africa, on mean and variance in contact numbers and contact durations, by contact type, and fitted to an estimate of overdispersion in numbers of secondary cases ('superspreading') in Cape Town. Household, repeated, and non-repeated contacts contributed 36%, 13%, and 51% of contact time, and 13%, 8%, and 79% of disease, respectively. Results suggest contact saturation, exacerbated by long disease durations and superspreading, cause the high proportion of transmission between non-repeated contacts. Household and social-contact tracing is therefore unlikely to reach most tuberculosis cases. A better understanding of transmission locations, and methods to identify superspreaders, are urgently required to improve tuberculosis prevention strategies.

摘要

目前,我们对于高发病地区结核分枝杆菌(Mycobacterium tuberculosis,Mtb)的传播途径知之甚少。分子研究表明,成年人之间仅有 8-19%的传播发生在家庭内部或已知的社会接触者之间。这与社会接触研究的结果形成鲜明对比,后者表明大量的接触时间发生在家庭、工作场所和学校。本研究构建了一个包含易感性和传染性差异的社会接触行为和 Mtb 传播的数学模型。模拟了三种类型的接触:家庭、重复(个体不在家庭中,每天/每月被重复接触)和非重复。该模型使用南非开普敦的接触次数和持续时间的平均值和方差数据进行参数化,根据接触类型进行拟合,并对开普敦的继发病例(超级传播者)数量的过离散度进行估计。家庭、重复和非重复接触分别占接触时间的 36%、13%和 51%,占疾病的 13%、8%和 79%。结果表明,接触饱和以及较长的疾病持续时间和超级传播者加剧了非重复接触之间的高比例传播。因此,家庭和社会接触追踪不太可能发现大多数结核病病例。迫切需要更好地了解传播地点以及识别超级传播者的方法,以改善结核病预防策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95cc/5876383/3ff9923fd999/41598_2018_23797_Fig1_HTML.jpg

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