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基于环境监测数据建模的以色列拉哈特静悄悄的脊髓灰质炎疫情流行病学。

Epidemiology of the silent polio outbreak in Rahat, Israel, based on modeling of environmental surveillance data.

机构信息

Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109.

Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109;

出版信息

Proc Natl Acad Sci U S A. 2018 Nov 6;115(45):E10625-E10633. doi: 10.1073/pnas.1808798115. Epub 2018 Oct 18.

Abstract

Israel experienced an outbreak of wild poliovirus type 1 (WPV1) in 2013-2014, detected through environmental surveillance of the sewage system. No cases of acute flaccid paralysis were reported, and the epidemic subsided after a bivalent oral polio vaccination (bOPV) campaign. As we approach global eradication, polio will increasingly be detected only through environmental surveillance. We developed a framework to convert quantitative polymerase chain reaction (qPCR) cycle threshold data into scaled WPV1 and OPV1 concentrations for inference within a deterministic, compartmental infectious disease transmission model. We used this approach to estimate the epidemic curve and transmission dynamics, as well as assess alternate vaccination scenarios. Our analysis estimates the outbreak peaked in late June, much earlier than previous estimates derived from analysis of stool samples, although the exact epidemic trajectory remains uncertain. We estimate the basic reproduction number was 1.62 (95% CI 1.04-2.02). Model estimates indicate that 59% (95% CI 9-77%) of susceptible individuals (primarily children under 10 years old) were infected with WPV1 over a little more than six months, mostly before the vaccination campaign onset, and that the vaccination campaign averted 10% (95% CI 1-24%) of WPV1 infections. As we approach global polio eradication, environmental monitoring with qPCR can be used as a highly sensitive method to enhance disease surveillance. Our analytic approach brings public health relevance to environmental data that, if systematically collected, can guide eradication efforts.

摘要

以色列在 2013-2014 年经历了野生脊髓灰质炎 1 型病毒(WPV1)的爆发,这是通过对污水系统的环境监测发现的。没有报告急性弛缓性麻痹病例,在双价口服脊髓灰质炎疫苗(bOPV)接种运动后,疫情得以平息。随着我们接近全球根除,脊髓灰质炎将越来越多地仅通过环境监测来发现。我们开发了一个框架,将定量聚合酶链反应(qPCR)循环阈值数据转换为规模 WPV1 和 OPV1 浓度,以便在确定性、隔室传染病传播模型内进行推断。我们使用这种方法来估计流行曲线和传播动态,并评估替代疫苗接种方案。我们的分析估计疫情在 6 月底达到高峰,比以前从粪便样本分析中得出的估计要早得多,尽管确切的疫情轨迹仍不确定。我们估计基本繁殖数为 1.62(95%CI 1.04-2.02)。模型估计表明,在略多于六个月的时间里,有 59%(95%CI 9-77%)的易感个体(主要是 10 岁以下的儿童)感染了 WPV1,大多数是在接种运动开始之前,而接种运动避免了 10%(95%CI 1-24%)的 WPV1 感染。随着我们接近全球根除脊髓灰质炎,qPCR 环境监测可用作增强疾病监测的高度敏感方法。我们的分析方法为环境数据带来了公共卫生相关性,如果系统地收集这些数据,可以指导根除努力。

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