CNRS UMR "Chrono-Environment", Besançon, France.
PLoS Negl Trop Dis. 2010 Jan 19;4(1):e583. doi: 10.1371/journal.pntd.0000583.
Active trachoma is not uniformly distributed in endemic areas, and local environmental factors influencing its prevalence are not yet adequately understood. Determining whether clustering is a consistent phenomenon may help predict likely modes of transmission and help to determine the appropriate level at which to target control interventions. The aims of this study were, therefore, to disentangle the relative importance of clustering at different levels and to assess the respective role of individual, socio-demographic, and environmental factors on active trachoma prevalence among children in Mali.
METHODOLOGY/PRINCIPAL FINDINGS: We used anonymous data collected during the Mali national trachoma survey (1996-1997) at different levels of the traditional social structure (14,627 children under 10 years of age, 6,251 caretakers, 2,269 households, 203 villages). Besides field-collected data, environmental variables were retrieved later from various databases at the village level. Bayesian hierarchical logistic models were fit to these prevalence and exposure data. Clustering revealed significant results at four hierarchical levels. The higher proportion of the variation in the occurrence of active trachoma was attributable to the village level (36.7%), followed by household (25.3%), and child (24.7%) levels. Beyond some well-established individual risk factors (age between 3 and 5, dirty face, and flies on the face), we showed that caretaker-level (wiping after body washing), household-level (common ownership of radio, and motorbike), and village-level (presence of a women's association, average monthly maximal temperature and sunshine fraction, average annual mean temperature, presence of rainy days) features were associated with reduced active trachoma prevalence.
CONCLUSIONS/SIGNIFICANCE: This study clearly indicates the importance of directing control efforts both at children with active trachoma as well as those with close contact, and at communities. The results support facial cleanliness and environmental improvements (the SAFE strategy) as population-health initiatives to combat blinding trachoma.
活动性沙眼在流行地区并非均匀分布,其流行的局部环境因素尚不完全清楚。确定聚类是否是一种普遍现象可能有助于预测可能的传播模式,并有助于确定控制干预的适当目标水平。因此,本研究的目的是厘清不同水平的聚类的相对重要性,并评估个体、社会人口和环境因素对马里儿童活动性沙眼流行的各自作用。
方法/主要发现:我们使用了在传统社会结构的不同层次(14627 名 10 岁以下儿童、6251 名照顾者、2269 户家庭、203 个村庄)收集的匿名数据,进行了马里国家沙眼调查(1996-1997 年)。除了实地收集的数据外,环境变量后来从村庄一级的各种数据库中检索。贝叶斯层次逻辑模型适用于这些流行率和暴露数据。聚类在四个层次上显示出显著的结果。在活动性沙眼发生方面,变异的较高比例归因于村庄一级(36.7%),其次是家庭(25.3%)和儿童(24.7%)水平。除了一些公认的个体危险因素(年龄在 3 至 5 岁之间、脸脏和脸上有苍蝇)之外,我们还表明,照顾者层面(洗澡后擦拭)、家庭层面(收音机和摩托车共同拥有)和村庄层面(妇女协会的存在、平均每月最高温度和阳光分数、年平均温度、雨天的存在)特征与降低活动性沙眼的流行率有关。
结论/意义:本研究清楚地表明,有必要针对患有活动性沙眼的儿童以及与其有密切接触的儿童以及社区开展控制工作。研究结果支持清洁面部和改善环境(SAFE 策略)作为防治致盲性沙眼的人群健康措施。