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基于污水的流行病学作为一种有用的工具,可用于追踪 SARS-CoV-2 病毒,并为巴西市级公共卫生政策提供支持。

Wastewater-based epidemiology as a useful tool to track SARS-CoV-2 and support public health policies at municipal level in Brazil.

机构信息

Laboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation. Av. Brasil, 4365, Manguinhos, Rio de Janeiro, CEP 21040-360, Brazil.

Sergio Arouca National School of Public Health, Oswaldo Cruz Foundation. Av. Brasil, 4365, Manguinhos, Rio de Janeiro, CEP 21040-360, Brazil.

出版信息

Water Res. 2021 Mar 1;191:116810. doi: 10.1016/j.watres.2021.116810. Epub 2021 Jan 5.

Abstract

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) wastewater-based epidemiology (WBE) has been applied as a complementary approach for spatial tracking of coronavirus disease 2019 cases (COVID-19) as well as early warning of the occurrence of infected populations. The present study presents the result of the monitoring of sanitary sewerage in the municipality of Niterói, a metropolitan region of Rio de Janeiro (Brazil) and its use as a complementary indicator in the surveillance of COVID-19 cases, thus assisting actions of public health from local authorities. Twelve composite raw sewage samples were weekly collected from two wastewater treatment plants (WWTPs) and alternately from 17 sewer pipes (SP) from surrounding neighbourhoods and slums throughout 20 weeks (April 15th to August 25th, 2020). Two hundred twenty-three samples were concentrated using the ultracentrifugation-based method and SARS-CoV-2 RNA detected and quantified by RT-qPCR using primers and probe targeting the N2 genome. SARS-CoV-2 RNA was detected in 84.3% (188/223) of samples with a positive rate ranging from 42% (5/12) in the first week of monitoring to 100% during the peak of epidemic with viral concentration ranging from 3.1 to 7.1 log genome copies 100 mL throughout the studied period. Positive rates were higher in WWTPs when compared to SP, being useful tool for monitoring trends in the evolution of the COVID-19 curve, while SP data were more effective when health public interventions were needed. Whole-genome sequencing using Illumina MiSeq System confirmed the lineage of three genomes as B.1.1.33 (clade G) containing the nucleotide substitutions observed in strains that circulate in the Rio de Janeiro during the period of this study. In addition, geoprocessing tool was used to build heat maps based on SARS-CoV-2 data from sewage samples, which were weekly updated and available online to the general population as an indicator of the ongoing epidemic situation in Niterói city, raising public awareness.

摘要

严重急性呼吸系统综合症冠状病毒 2 (SARS-CoV-2) 污水流行病学 (WBE) 已被应用于空间追踪 2019 年冠状病毒病 (COVID-19) 病例以及感染人群的早期预警,作为一种补充方法。本研究介绍了对里约热内卢大都市区尼泰罗伊市污水管网的监测结果,以及将其作为 COVID-19 病例监测的补充指标的使用情况,从而为地方当局的公共卫生行动提供了帮助。在 2020 年的 20 周内(4 月 15 日至 8 月 25 日),每周从两个污水处理厂 (WWTP) 以及周围社区和贫民窟的 17 个污水管 (SP) 中收集 12 个组合原始污水样本。使用基于超速离心的方法浓缩 223 个样本,使用针对 N2 基因组的引物和探针通过 RT-qPCR 检测和定量 SARS-CoV-2 RNA。在 223 个样本中,有 84.3%(188/223)检测到 SARS-CoV-2 RNA,阳性率从监测第一周的 42%(5/12)到流行高峰期的 100%不等,病毒浓度在整个研究期间范围从 3.1 到 7.1 log 基因组拷贝 100 mL。与 SP 相比,WWTP 中的阳性率更高,是监测 COVID-19 曲线演变趋势的有用工具,而在需要进行公共卫生干预时,SP 数据则更为有效。使用 Illumina MiSeq 系统进行全基因组测序证实了三个基因组的谱系为 B.1.1.33(G 群),其中包含了在本研究期间在里约热内卢流行的菌株中观察到的核苷酸突变。此外,还使用地理处理工具根据污水样本中的 SARS-CoV-2 数据构建了热图,这些数据每周更新,并在线提供给公众,作为尼泰罗伊市当前疫情的指标,提高了公众的意识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caa3/7832254/5ca06c51dcaa/fx1_lrg.jpg

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