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首页> 外文期刊>American Journal of Epidemiology >Importance of adequate local spatiotemporal transmission measures in malaria cohort studies: Application to the relation between placental malaria and first malaria infection in infants
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Importance of adequate local spatiotemporal transmission measures in malaria cohort studies: Application to the relation between placental malaria and first malaria infection in infants

机译:疟疾队列研究中适当的局部时空传播措施的重要性:在婴儿胎盘疟疾与首次疟疾感染之间的关系中的应用

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According to several studies, infants whose mothers had a malaria-infected placenta (MIP) at delivery are at increased risk of a first malaria infection. Immune tolerance caused by intrauterine contact with the parasite could explain this phenomenon, but it is also known that infants who are highly exposed to Anopheles mosquitoes infected with Plasmodium are at greater risk of contracting malaria. Consequently, local malaria transmission must be taken into account to demonstrate the immune tolerance hypothesis. From data collected between 2007 and 2010 on 545 infants followed from birth to age 18 months in southern Benin, we compared estimates of the effect of MIP on time to first malaria infection obtained through different Cox models. In these models, MIP was adjusted for either 1) "village-like" time-independent exposure variables or 2) spatiotemporal exposure prediction derived from local climatic, environmental, and behavioral factors. Only the use of exposure prediction improved the model's goodness of fit (Bayesian Information Criterion) and led to clear conclusions regarding the effect of placental infection, whereas the models using the village-like variables were less successful than the univariate model. This demonstrated clearly the benefit of adequately taking transmission into account in cohort studies of malaria.
机译:根据几项研究,其母亲在分娩时感染了疟疾的胎盘(MIP)的婴儿罹患首次疟疾的风险增加。子宫内与寄生虫接触引起的免疫耐受性可以解释这种现象,但也众所周知,高度暴露于疟原虫感染的按蚊的婴儿患疟疾的风险更大。因此,必须考虑局部疟疾传播,以证明免疫耐受假说。根据2007年至2010年之间在贝宁南部从出生到18个月大的545例婴儿的数据,我们比较了MIP对通过不同Cox模型获得的首次疟疾感染在时间上的影响估计。在这些模型中,对MIP进行了以下调整:1)与时间无关的“村庄样”暴露变量,或者2)从局部气候,环境和行为因素得出的时空暴露预测。仅使用暴露预测可提高模型的拟合优度(贝叶斯信息准则),并得出有关胎盘感染影响的明确结论,而使用乡村样变量的模型则不如单变量模型成功。这清楚地证明了在疟疾队列研究中充分考虑传播的益处。

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