London School of Hygiene and Tropical Medicine, London, UK.
Lancaster Medical School, Lancaster University, Lancaster, Lancashire, UK.
BMC Infect Dis. 2019 Apr 30;19(1):364. doi: 10.1186/s12879-019-3935-1.
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.
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.
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.
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.
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。
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。
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%。
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。