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病毒传入在维持乌干达农村社区艾滋病流行中的作用:来自空间聚类、系统发生学和个体中心传播模型的证据。

The role of viral introductions in sustaining community-based HIV epidemics in rural Uganda: evidence from spatial clustering, phylogenetics, and egocentric transmission models.

机构信息

Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America.

Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.

出版信息

PLoS Med. 2014 Mar 4;11(3):e1001610. doi: 10.1371/journal.pmed.1001610. eCollection 2014 Mar.

DOI:10.1371/journal.pmed.1001610
PMID:24595023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3942316/
Abstract

BACKGROUND

It is often assumed that local sexual networks play a dominant role in HIV spread in sub-Saharan Africa. The aim of this study was to determine the extent to which continued HIV transmission in rural communities--home to two-thirds of the African population--is driven by intra-community sexual networks versus viral introductions from outside of communities.

METHODS AND FINDINGS

We analyzed the spatial dynamics of HIV transmission in rural Rakai District, Uganda, using data from a cohort of 14,594 individuals within 46 communities. We applied spatial clustering statistics, viral phylogenetics, and probabilistic transmission models to quantify the relative contribution of viral introductions into communities versus community- and household-based transmission to HIV incidence. Individuals living in households with HIV-incident (n = 189) or HIV-prevalent (n = 1,597) persons were 3.2 (95% CI: 2.7-3.7) times more likely to be HIV infected themselves compared to the population in general, but spatial clustering outside of households was relatively weak and was confined to distances <500 m. Phylogenetic analyses of gag and env genes suggest that chains of transmission frequently cross community boundaries. A total of 95 phylogenetic clusters were identified, of which 44% (42/95) were two individuals sharing a household. Among the remaining clusters, 72% (38/53) crossed community boundaries. Using the locations of self-reported sexual partners, we estimate that 39% (95% CI: 34%-42%) of new viral transmissions occur within stable household partnerships, and that among those infected by extra-household sexual partners, 62% (95% CI: 55%-70%) are infected by sexual partners from outside their community. These results rely on the representativeness of the sample and the quality of self-reported partnership data and may not reflect HIV transmission patterns outside of Rakai.

CONCLUSIONS

Our findings suggest that HIV introductions into communities are common and account for a significant proportion of new HIV infections acquired outside of households in rural Uganda, though the extent to which this is true elsewhere in Africa remains unknown. Our results also suggest that HIV prevention efforts should be implemented at spatial scales broader than the community and should target key populations likely responsible for introductions into communities.

摘要

背景

人们通常认为,地方性行为网络在撒哈拉以南非洲的艾滋病毒传播中起着主导作用。本研究的目的是确定在农村社区(占非洲人口的三分之二)中,持续的艾滋病毒传播是由社区内的性行为网络驱动,还是由社区外的病毒传入驱动。

方法和发现

我们利用乌干达 Rakai 区一个包含 46 个社区的 14594 个人的队列数据,分析了艾滋病毒传播的空间动态。我们应用空间聚类统计、病毒系统发生和概率传播模型,量化了病毒传入社区与社区内和家庭内传播对艾滋病毒发病率的相对贡献。与一般人群相比,与 HIV 新发感染者(n=189)或 HIV 现患感染者(n=1597)同住的家庭中,个人感染 HIV 的风险高 3.2 倍(95% CI:2.7-3.7),但家庭外的空间聚类相对较弱,仅限于距离<500 m。 gag 和 env 基因的系统发生分析表明,传播链经常跨越社区边界。共确定了 95 个系统发生簇,其中 44%(42/95)是共享一个家庭的两个人。在其余的簇中,72%(38/53)跨越了社区边界。利用自我报告性伴侣的位置,我们估计 39%(95% CI:34%-42%)的新病毒传播发生在稳定的家庭伴侣关系内,而在那些感染了家庭外性伴侣的人中,有 62%(95% CI:55%-70%)是感染了社区外的性伴侣。这些结果依赖于样本的代表性和自我报告伴侣关系数据的质量,可能无法反映 Rakai 以外的艾滋病毒传播模式。

结论

我们的研究结果表明,艾滋病毒传入社区很常见,在乌干达农村地区,社区外获得的新 HIV 感染中有很大一部分是由社区外传入引起的,尽管在非洲其他地方的情况尚不清楚。我们的研究结果还表明,艾滋病毒预防工作应该在比社区更大的空间尺度上实施,并应针对可能导致社区内传入的关键人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/2d596146718e/pmed.1001610.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/b8af67b6454e/pmed.1001610.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/c39b58fadc86/pmed.1001610.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/43052d1cb48c/pmed.1001610.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/2d596146718e/pmed.1001610.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/b8af67b6454e/pmed.1001610.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/c39b58fadc86/pmed.1001610.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/43052d1cb48c/pmed.1001610.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/255d/3942316/2d596146718e/pmed.1001610.g004.jpg

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