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了解倒睫的空间分布及其与沙眼滤泡性炎症的关系。

Understanding the spatial distribution of trichiasis and its association with trachomatous inflammation-follicular.

机构信息

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

Lancaster Medical School, Lancaster University, Lancaster, Lancashire, UK.

出版信息

BMC Infect Dis. 2019 Apr 30;19(1):364. doi: 10.1186/s12879-019-3935-1.

Abstract

BACKGROUND

Whilst previous work has identified clustering of the active trachoma sign "trachomatous inflammation-follicular" (TF), there is limited understanding of the spatial structure of trachomatous trichiasis (TT), the rarer, end-stage, blinding form of disease. Here we use community-level TF prevalence, information on access to water and sanitation, and large-scale environmental and socio-economic indicators to model the spatial variation in community-level TT prevalence in Benin, Cote d'Ivoire, DRC, Guinea, Ethiopia, Malawi, Mozambique, Nigeria, Sudan and Uganda.

METHODS

We fit binomial mixed models, with community-level random effects, separately for each country. In countries where spatial correlation was detected through a semi-variogram diagnostic check we then fitted a geostatistical model to the TT prevalence data including TF prevalence as an explanatory variable.

RESULTS

The estimated regression relationship between community-level TF and TT was significant in eight countries. We estimate that a 10% increase in community-level TF prevalence leads to an increase in the odds for TT ranging from 20 to 86% when accounting for additional covariates.

CONCLUSION

We find evidence of an association between TF and TT in some parts of Africa. However, our results also suggest the presence of additional, country-specific, spatial risk factors which modulate the variation in TT risk.

摘要

背景

尽管先前的研究已经确定了活动性沙眼体征“滤泡性沙眼炎症”(TF)的聚类现象,但对于更罕见的、终末期、致盲性疾病沙眼性倒睫(TT)的空间结构,了解有限。在这里,我们使用社区层面 TF 的流行率、获得水和卫生设施的信息以及大规模的环境和社会经济指标,对贝宁、科特迪瓦、刚果民主共和国、几内亚、埃塞俄比亚、马拉维、莫桑比克、尼日利亚、苏丹和乌干达的社区层面 TT 流行率的空间变化进行建模。

方法

我们分别为每个国家拟合了二项式混合模型,其中包含社区层面的随机效应。在通过半变异诊断检查检测到空间相关性的国家中,我们随后将 TT 流行率数据拟合了一个地统计模型,其中 TF 流行率作为一个解释变量。

结果

在八个国家中,社区层面 TF 和 TT 之间的估计回归关系具有统计学意义。我们估计,在考虑其他协变量的情况下,社区层面 TF 流行率每增加 10%,TT 的发生几率就会增加 20%至 86%。

结论

我们在非洲的一些地区发现了 TF 和 TT 之间存在关联的证据。然而,我们的研究结果还表明,存在其他特定于国家的空间风险因素,这些因素调节了 TT 风险的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8240/6492377/9debd14e2ff6/12879_2019_3935_Fig1_HTML.jpg

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