Wastewater monitoring in support of health surveillance of the COVID-19 pandemic

J. Lesne, Y. Lévi
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Abstract

Surveillance of infectious disease pandemics is traditionally carried out by the inventory of individual clinical cases, mortality, and biological testing. Collective monitoring through the analysis of biomarkers in wastewater is a new complementary approach developed due to progress in analytical chemistry. It supports epidemiological studies for the estimation of the prevalence of viral infectious diseases within communities connected to the same wastewater sewage network. In the context of the COVID-19 pandemic, this type of approach has developed widely and rapidly around the world, due to its anticipated benefits. The article builds on early work published since January 2020 in a rapidly evolving literature. It shows that the method has limitations related in particular to the sampling strategy, analytical matrix effects, interlaboratory variability of results, and also uncertainties about individual viral excretion in feces. In almost all cases, it uses genomic detection of SARS-CoV-2 virus by quantitative PCR and is therefore unable to characterize its infectivity. The results showed a relatively good relation between genome concentrations in wastewater and numbers of confirmed cases. The virus detections seemed to appear a few days before the changes observed on the basis of the clinical and test screenings and can alert the health authorities to the geographical progression of an expected epidemic or to anticipate their reaction in the event of a new spike of the current epidemic. Knowledge of the evolutionary trends of wastewater virus contamination in cities, or even in city districts, also makes it possible to better target geographically and over time the public health management actions intended to prevent the circulation of the virus in the population served by their sewerage systems. In connection with health surveillance, the method is intended to contribute to the development of epidemiological models to predict the evolution of the pandemic at the local level. It is expected to develop into a permanent surveillance network over the territories, providing early, real-time epidemiological indications. Wastewater monitoring could also feed a pool of control samples to determine retrospectively when a new outbreak of viral infection has entered a territory.
废水监测以支持COVID-19大流行的卫生监测
传染病大流行的监测传统上是通过清点个别临床病例、死亡率和生物检测来进行的。通过分析废水中的生物标志物进行集体监测是由于分析化学的进步而发展起来的一种新的补充方法。它支持进行流行病学研究,以估计与同一污水管网相连的社区内病毒性传染病的流行情况。在2019冠状病毒病大流行的背景下,由于预期的好处,这种方法在世界范围内得到了广泛而迅速的发展。这篇文章建立在自2020年1月以来在快速发展的文献中发表的早期工作的基础上。这表明该方法有局限性,特别是与采样策略、分析矩阵效应、结果的实验室间变异性以及粪便中个体病毒排泄的不确定性有关。在几乎所有情况下,它都是通过定量PCR对SARS-CoV-2病毒进行基因组检测,因此无法表征其传染性。结果表明,废水中基因组浓度与确诊病例数之间存在较好的相关性。这些病毒的发现似乎比根据临床和检测筛查观察到的变化早几天出现,可以提醒卫生当局注意预期流行病的地理进展,或在当前流行病出现新高峰时预测其反应。了解城市甚至城市地区废水病毒污染的演变趋势,还可以更好地针对地理和时间目标采取公共卫生管理行动,以防止病毒在其污水系统所服务的人口中传播。在健康监测方面,该方法旨在促进流行病学模型的发展,以预测地方一级大流行病的演变。预计它将发展成为一个覆盖各领土的永久性监测网,提供早期、实时的流行病学指示。废水监测还可以提供一个对照样本库,以回顾性地确定何时爆发了新的病毒感染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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