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Potential inconsistencies in Zika surveillance data and our understanding of risk during pregnancy

机译:Zika监测数据中潜在的不一致之处以及我们对怀孕期间风险的理解

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Author summary Zika virus (ZIKV) infection is associated with the rise of microcephaly cases observed in Northeast Brazil at the end of 2015. For women in endemic or at-risk areas, understanding how the relationship between time of infection and microcephaly risk varies through pregnancy is important in informing family planning. However, a relatively modest number of congenital Zika syndrome cases have been observed following subsequent waves of ZIKV infection, limiting our understanding of gestational risk. We used a mathematical model to quantify the shape and magnitude of the gestational-age-varying risk to a fetus. Although the risk profile should be conserved regardless of location, we estimated different profiles when using surveillance data from locations in Northeast Brazil and Colombia. Our results suggest that time-dependent reporting changes likely confound the interpretation of currently available surveillance data. Furthermore, we investigated a range of behavioural and reporting rate changes that could explain two waves of ZIKV infection in Bahia, Brazil despite only one wave of microcephaly. Plausible changes in reporting could explain these data whilst remaining consistent with the hypothesis that ZIKV infection carries a significant risk of microcephaly. Further evidence is needed to disentangle the true risk of congenital Zika syndrome from time-varying reporting changes.
机译:作者摘要寨卡病毒(ZIKV)感染与2015年底在巴西东北部观察到的小头畸形病例增加有关。对于地方病或高危地区的妇女,了解感染时间与小头畸形风险之间的关系在怀孕期间如何变化对计划生育的告知很重要。但是,在随后的ZIKV感染浪潮之后,已经观察到相对少量的先天性Zika综合征病例,这限制了我们对妊娠风险的理解。我们使用数学模型来量化胎儿的胎龄变化风险的形状和大小。尽管无论身处何处都应保留风险概况,但当使用来自巴西东北部和哥伦比亚各地的监测数据时,我们估计了不同的概况。我们的结果表明,与时间有关的报告更改可能会混淆当前可用监视数据的解释。此外,我们调查了一系列行为和报告率的变化,这些变化可以解释尽管只有一波小头畸形,但在巴西巴伊亚州发生了两波ZIKV感染。报告中可能发生的变化可以解释这些数据,同时与ZIKV感染携带小头畸形的重大风险这一假设保持一致。需要进一步的证据来区分先天性寨卡综合征的真实风险与时变的报告变化。

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