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利用基于污水的流行病学监测 SARS-CoV-2 传播:综合研究。

Surveillance of SARS-CoV-2 spread using wastewater-based epidemiology: Comprehensive study.

机构信息

Bioengineering and Environmental Sciences Lab, Department of Energy and Environmental Engineering (DEEE), CSIR-Indian Institute of Chemical Technology (CSIR-IICT), Hyderabad 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.

CSIR-Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.

出版信息

Sci Total Environ. 2021 May 10;768:144704. doi: 10.1016/j.scitotenv.2020.144704. Epub 2021 Jan 6.

DOI:10.1016/j.scitotenv.2020.144704
PMID:33736319
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7787060/
Abstract

SARS-CoV-2 pandemic is having a devastating effect on human lives. Recent reports have shown that majority of the individuals recovered from COVID-19 have serious health complications, which is going to be a huge economic burden globally. Given the wide-spread transmission of SARS-CoV-2 it is almost impossible to test every individual in densely populated countries. Recent reports have shown that sewage-based surveillance can be used as holistic approach to understand the spread of the pandemic within a population or area. Here we have estimated the spread of SARS-CoV-2 in the city of Hyderabad, India, which is a home for nearly 10 million people. The sewage samples were collected from all the major sewage treatment plants (STPs) and were processed for detecting the viral genome using the standard Reverse Transcription Polymerase Chain Reaction (RT-PCR) method. Interestingly, inlet samples of STPs were positive for SARS-CoV-2, while the outlets were negative, which indicates that the standard sewage treatment methods are efficient in eliminating the SARS-CoV-2 viral particles. Based on the detected viral gene copies per litre and viral particle shedding per individual, the total number of individuals exposed to SARS-CoV-2 was estimated. Through this study we suggest that sewage-based surveillance is an effective approach to study the infection dynamics, which helps in efficient management of the SARS-CoV-2 spread.

摘要

SARS-CoV-2 大流行对人类生命造成了毁灭性的影响。最近的报告表明,大多数从 COVID-19 中康复的人都有严重的健康并发症,这将在全球范围内造成巨大的经济负担。鉴于 SARS-CoV-2 的广泛传播,在人口密集的国家几乎不可能对每个人进行检测。最近的报告表明,基于污水的监测可以作为一种整体方法,了解疫情在人群或地区内的传播情况。在这里,我们估计了印度海得拉巴市的 SARS-CoV-2 传播情况,该市拥有近 1000 万人口。从所有主要污水处理厂(STP)采集污水样本,并使用标准逆转录聚合酶链反应(RT-PCR)方法对病毒基因组进行检测。有趣的是,STP 的入口样本对 SARS-CoV-2 呈阳性,而出口样本则呈阴性,这表明标准的污水处理方法能够有效地消除 SARS-CoV-2 病毒颗粒。根据每升检测到的病毒基因拷贝数和每个个体的病毒颗粒脱落量,估算出暴露于 SARS-CoV-2 的个体总数。通过这项研究,我们建议基于污水的监测是研究感染动态的有效方法,有助于有效管理 SARS-CoV-2 的传播。

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