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第二波疫情之前:匈牙利通过污水监测对 COVID-19 的预警。

Ahead of the second wave: Early warning for COVID-19 by wastewater surveillance in Hungary.

机构信息

Department of Public Health Laboratory, National Public Health Centre, Albert Flórián út 2-6, H-1097 Budapest, Hungary.

Department of Virology, National Public Health Centre, Albert Flórián út 2-6, H-1097 Budapest, Hungary.

出版信息

Sci Total Environ. 2021 Sep 10;786:147398. doi: 10.1016/j.scitotenv.2021.147398. Epub 2021 Apr 29.

DOI:10.1016/j.scitotenv.2021.147398
PMID:33971598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8081569/
Abstract

Wastewater based epidemiology is a potential early warning tool for the detection of COVID-19 outbreak. Sewage surveillance for SARS-CoV-2 RNA was introduced in Hungary after the successful containment of the first wave of the pandemic to forecast the resurge of infections. Three wastewater treatment plants servicing the entire population (1.8 million) of the capital, Budapest were sampled weekly. 24 h composite (n = 44) and grab samples (n = 21) were concentrated by an in-house flat sheet membrane ultrafiltration method. The efficiency and reproducibility of the method was comparable to those previously published. SARS-CoV-2 RNA was quantified using RT-qPCR of the N gene. The first positive signal in sewage was detected 2 weeks before the rise in case numbers. Viral concentration and volume-adjusted viral load correlated to the weekly new cases from the same week and the rolling 7-day average of active cases in the subsequent week. The correlation was more pronounced in the ascending phase of the outbreak, data was divergent once case numbers plateaued. Wastewater surveillance was found to be effective in predicting the second wave of the outbreak in Hungary. Data indicated that even relatively low frequency (weekly) sampling is useful and at the same time, cost effective tool in outbreak detection.

摘要

基于污水的流行病学是一种用于检测 COVID-19 爆发的潜在预警工具。在成功控制了大流行的第一波疫情后,匈牙利引入了针对 SARS-CoV-2 RNA 的污水监测,以预测感染的再次出现。每周对服务于首都布达佩斯全部人口(180 万)的三个污水处理厂进行采样。每周采集 24 小时混合(n = 44)和随机(n = 21)污水样本,采用自制的平板膜超滤法浓缩。该方法的效率和重现性与之前发表的方法相当。使用 RT-qPCR 对 N 基因进行 SARS-CoV-2 RNA 定量。在病例数量增加前 2 周,在污水中首次检测到阳性信号。病毒浓度和体积校正的病毒载量与同一周的每周新病例数以及随后一周的活跃病例滚动 7 天平均值相关。在疫情上升阶段相关性更明显,一旦病例数达到峰值,数据就会出现分歧。污水监测被证明在预测匈牙利的第二波疫情方面是有效的。数据表明,即使是相对较低的采样频率(每周)也是有用的,同时也是一种具有成本效益的爆发检测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/fe150a417343/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/2889472088b6/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/a825cb4b5f63/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/62c6ab3ccda9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/61114ad3b2e6/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/fe150a417343/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/2889472088b6/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/a825cb4b5f63/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/62c6ab3ccda9/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/61114ad3b2e6/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d72b/8081569/fe150a417343/gr4_lrg.jpg

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