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首页> 外文期刊>American Journal of Epidemiology >Estimating the Severity Profile of Enterovirus A71 Infections in Children: A Bayesian Synthesis Framework
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Estimating the Severity Profile of Enterovirus A71 Infections in Children: A Bayesian Synthesis Framework

机译:估算儿童肠道病毒A71感染的严重程度概况:贝叶斯综合框架

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Enterovirus A71 (EV-A71) is responsible for the majority of severe cases of hand, foot, and mouth disease, but little evidence is available on the severity profile of EV-A71 infections. We formulated a hierarchical Bayesian model that synthesized data on diseases/events associated with EV-A71 and EV-A71 antibody responses to infection among unvaccinated children from large clinical trials of EV-A71 vaccination, which were conducted in Jiangsu and Beijing during 2012 and 2013, to reconstruct the severity profile in a unified framework. On average, 15.1% of the children aged 6-35 months were infected by EV-A71 during 1-year follow-up in a mild epidemic season. We estimated that 9.7%, 2.2%, and 0.6% of children infected with EV-A71 were diagnosed with EV-A71-associated diseases, were hospitalized, and showed severe complications, respectively. We estimated on average 1 death per 10,000 EV-A71 infections for children aged 6-35 months. Approximately 70% of children had 4-fold rises in antibody titers after infection. Most EV-A71 infections in young children are mild, and overall 2.2% of the infected patients were hospitalized in the 2 trials. There remain several uncertainties about the immune response after infection and the duration of immunity against EV-A71 reinfection.
机译:肠道病毒A71(EV-A71)负责大多数严重的手,脚和口腔疾病,但在EV-A71感染的严重程度概况中有很少的证据。我们制定了一项分层贝叶斯模型,该模型合成了与EV-A71和EV-A71抗体对来自EV-A71疫苗接种的大型临床试验中未接种催化的儿童感染的疾病/事件的数据,这些模型来自EV-A71疫苗接种的大型临床试验,该抗体在2012年和2013年期间在江苏和北京进行,重建统一框架中的严重性简介。平均而言,在一个温和的流行季节中的1年后,EV-A71将感染15.1%的6-35个月儿童。我们估计9.7%,2.2%和0.6%的感染EV-A71的儿童被诊断出患有EV-A71相关疾病,分别为期住院,并分别显示出严重的并发症。我们平均每10,000名EV-A71感染6-35个月的10,000名EV-A71的死亡。感染后,大约70%的儿童在抗体滴度上升高了4倍。幼儿的大多数EV-A71感染是轻微的,并且在2次试验中,每年2.2%的受感染患者住院。感染后免疫应答的不确定性以及对EV-A71 Reinfection的免疫持续时间仍有几种不确定性。

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