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德国南部法兰克福大都市区污水中 SARS-CoV-2 RNA 的长期监测。

Long-term monitoring of SARS-CoV-2 RNA in wastewater of the Frankfurt metropolitan area in Southern Germany.

机构信息

Chair of Wastewater Engineering, Institute IWAR, Technical University of Darmstadt, Franziska-Braun-Straße 7, 64287, Darmstadt, Germany.

出版信息

Sci Rep. 2021 Mar 8;11(1):5372. doi: 10.1038/s41598-021-84914-2.

Abstract

Wastewater-based epidemiology (WBE) is a great approach that enables us to comprehensively monitor the community to determine the scale and dynamics of infections in a city, particularly in metropolitan cities with a high population density. Therefore, we monitored the time course of the SARS-CoV-2 RNA concentration in raw sewage in the Frankfurt metropolitan area, the European financial center. To determine the SARS-CoV-2 RNA concentration in sewage, we continuously collected 24 h composite samples twice a week from two wastewater treatment plant (WWTP) influents (Niederrad and Sindlingen) serving the Frankfurt metropolitan area and performed RT-qPCR analysis targeting three genes (N gene, S gene, and ORF1ab gene). In August, a resurgence in the SARS-CoV-2 RNA load was observed, reaching 3 × 10 copies/day, which represented similar levels compared to April with approx. 2 × 10 copies/day. This corresponds to a continuous increase again in COVID-19 cases in Frankfurt since August, with an average of 28.6 incidences, compared to 28.7 incidences in April. Different temporal dynamics were observed between different sampling points, indicating local dynamics in COVID-19 cases within the Frankfurt metropolitan area. The SARS-CoV-2 RNA load to the WWTP Niederrad ranged from approx. 4 × 10 to 1 × 10 copies/day, the load to the WWTP Sindlingen from approx. 1 × 10 to 2 × 10 copies/day, which resulted in a preceding increase in these loading in July ahead of the weekly averaged incidences. The study shows that WBE has the potential as an early warning system for SARS-CoV-2 infections and a monitoring system to identify global hotspots of COVID-19.

摘要

基于污水的流行病学(WBE)是一种很好的方法,它使我们能够全面监测社区,以确定城市感染的规模和动态,特别是在人口密度高的大都市。因此,我们监测了 SARS-CoV-2 RNA 浓度在法兰克福大都市区,即欧洲金融中心的原始污水中的时间进程。为了确定污水中的 SARS-CoV-2 RNA 浓度,我们连续每周两次从为法兰克福大都市区服务的两个污水处理厂(Niederrad 和 Sindlingen)的进水口采集 24 小时复合样本,并进行针对三个基因(N 基因、S 基因和 ORF1ab 基因)的 RT-qPCR 分析。8 月,SARS-CoV-2 RNA 负荷出现反弹,达到 3×10 拷贝/天,与 4 月的约 2×10 拷贝/天相似。这对应于自 8 月以来法兰克福 COVID-19 病例的再次持续增加,平均发病率为 28.6,而 4 月的发病率为 28.7。不同采样点之间观察到不同的时间动态,表明法兰克福大都市区内 COVID-19 病例存在局部动态。SARS-CoV-2 RNA 负荷到 WWTP Niederrad 的范围约为 4×10 至 1×10 拷贝/天,负荷到 WWTP Sindlingen 的范围约为 1×10 至 2×10 拷贝/天,这导致 7 月的负荷增加先于每周平均发病率。该研究表明,WBE 具有作为 SARS-CoV-2 感染的预警系统和识别 COVID-19 全球热点的监测系统的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bae3/7940401/c209e1e95585/41598_2021_84914_Fig1_HTML.jpg

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