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严重急性呼吸综合征冠状病毒2片段的环境监测范围:问题、探索与攻克

Spectrum of environmental surveillance of SARS-CoV-2 fragments: Questions, quests, and conquest.

作者信息

Kumar Manish

机构信息

Sustainability Cluster, School of Engineering, Enery Agcres, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, 248007, India.

出版信息

Curr Opin Environ Sci Health. 2022 Dec;30:100401. doi: 10.1016/j.coesh.2022.100401. Epub 2022 Oct 29.

DOI:10.1016/j.coesh.2022.100401
PMID:36339883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9617644/
Abstract

This works examines the entire spectrum of 'Environmental Surveillance (EnvSurv)' of SARS-CoV-2 fragments i.e. the questions, quests, and conquests of the technology since early year 2020. The prime focus of the present work to document the journey with achieved objectives and remaining ambitions associated with the technology. Despite the EnvSurv may be regarded as the techniques, which rather achieved more than expected, will it win the struggle for its existence or lose its way once the pandemic and fear associated with it completely fades. Pertaining to this discussions, major researched topics were investigated, followed by enlisting of ten bullets of the past experiences along with corresponding challenges, and finally key targets for the techniques are enlisted. The article targets to be a simple guide of the journey of EnvSur in terms of its effectiveness for treatment, infectivity, monitoring & estimation (TIME) till date.

摘要

这项工作审视了新冠病毒片段“环境监测(EnvSurv)”的全貌,即自2020年初以来该技术面临的问题、探索和成果。本工作的主要重点是记录该技术的发展历程,包括已实现的目标和仍存的抱负。尽管环境监测可能被视为一项取得了超出预期成果的技术,但一旦疫情及其相关恐惧完全消退,它是会在生存斗争中获胜还是迷失方向呢?围绕这一讨论,对主要研究课题进行了调查,随后列出了过去经历的十个要点以及相应挑战,最后列出了该技术的关键目标。本文旨在成为一份关于环境监测在治疗效果、传染性、监测与评估(TIME)方面迄今为止发展历程的简易指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e226/9617644/cd6dad197c51/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e226/9617644/cd6dad197c51/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e226/9617644/cd6dad197c51/gr1_lrg.jpg

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本文引用的文献

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Genetic sequencing detected the SARS-CoV-2 delta variant in wastewater a month prior to the first COVID-19 case in Ahmedabad (India).
基因测序在印度艾哈迈达巴德首例 COVID-19 病例出现前一个月就在废水中检测到了 SARS-CoV-2 德尔塔变异株。
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Sewage surveillance for SARS-CoV-2: Molecular detection, quantification, and normalization factors.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的污水监测:分子检测、定量及标准化因子
Curr Opin Environ Sci Health. 2022 Aug;28:100363. doi: 10.1016/j.coesh.2022.100363. Epub 2022 Apr 10.
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Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology.基于人工神经网络的基于污水流行病学的 COVID-19 病例数和有效繁殖率估算。
Water Res. 2022 Jun 30;218:118451. doi: 10.1016/j.watres.2022.118451. Epub 2022 Apr 13.
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Lead time of early warning by wastewater surveillance for COVID-19: Geographical variations and impacting factors.新冠病毒废水监测早期预警的前置时间:地域差异及影响因素
Chem Eng J. 2022 Aug 1;441:135936. doi: 10.1016/j.cej.2022.135936. Epub 2022 Mar 23.
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SARS-CoV-2 shedding sources in wastewater and implications for wastewater-based epidemiology.废水中 SARS-CoV-2 的传播源及其对基于废水的流行病学的影响。
J Hazard Mater. 2022 Jun 15;432:128667. doi: 10.1016/j.jhazmat.2022.128667. Epub 2022 Mar 10.
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A Simple Method to Detect SARS-CoV-2 in Wastewater at Low Virus Concentration.一种在低病毒浓度下检测污水中 SARS-CoV-2 的简单方法。
J Environ Public Health. 2022 Feb 22;2022:4867626. doi: 10.1155/2022/4867626. eCollection 2022.
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Development of an efficient wastewater testing protocol for high-throughput country-wide SARS-CoV-2 monitoring.开发一种高效的废水检测方案,以实现全国范围内高通量的 SARS-CoV-2 监测。
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