Multi-tiered strategy for large-scale wastewater detection of SARS-CoV-2 in low-case settings provides confidence for public health actions.

IF 2.4 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Journal of water and health Pub Date : 2025-02-01 Epub Date: 2025-01-21 DOI:10.2166/wh.2025.164
Aaron Jex, Nijoy John, David McCarthy, Steven Myers, Natacha Begue, Christelle Schang, Shane P Usher, Louise Baker, Christine Kaucner, Paul Monis, Leon M Hartman, Brianna Flynn, James E Merrett, David Lister, Marco Herold, Andrew Kueh, Ngai Ning Cheng, Jackson Nolan, Leon Caly, Julian Druce, Bruce Thorley, Peter J Scales, Jonathan Schmidt, Suzie Sarkis, Nicholas D Crosbie, Rachael Poon, Monica Nolan
{"title":"Multi-tiered strategy for large-scale wastewater detection of SARS-CoV-2 in low-case settings provides confidence for public health actions.","authors":"Aaron Jex, Nijoy John, David McCarthy, Steven Myers, Natacha Begue, Christelle Schang, Shane P Usher, Louise Baker, Christine Kaucner, Paul Monis, Leon M Hartman, Brianna Flynn, James E Merrett, David Lister, Marco Herold, Andrew Kueh, Ngai Ning Cheng, Jackson Nolan, Leon Caly, Julian Druce, Bruce Thorley, Peter J Scales, Jonathan Schmidt, Suzie Sarkis, Nicholas D Crosbie, Rachael Poon, Monica Nolan","doi":"10.2166/wh.2025.164","DOIUrl":null,"url":null,"abstract":"<p><p>Wastewater surveillance has played a pivotal role in monitoring SARS-CoV-2 transmission worldwide. However, developing and implementing the methods underpinning these programmes in regions with prolonged periods of low community transmission has proven challenging. In Victoria, Australia, wastewater surveillance provided early warning of unknown community infections and informed timely public health decisions to limit their spread when case numbers were low. To achieve this, we developed a methodological approach sensitive to extremely low viral loads and could readily identify false positives within short turnaround times. Here, we describe the successful development, implementation, and evaluation of analytic methods using Reverse Transcriptase Quantitative Polymerase Chain Reaction (RT-qPCR) and amplicon sequencing in tandem with CRISPR DETECTR in an ongoing, large-scale surveillance programme to detect SARS-CoV-2 in wastewater in Victoria, Australia. Our study covers ten months, from July 2020 to April 2021, and includes all state-wide health districts and prolonged periods with no known, active community cases among the ∼6.7 million population.</p>","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"23 2","pages":"89-99"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of water and health","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wh.2025.164","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/21 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Wastewater surveillance has played a pivotal role in monitoring SARS-CoV-2 transmission worldwide. However, developing and implementing the methods underpinning these programmes in regions with prolonged periods of low community transmission has proven challenging. In Victoria, Australia, wastewater surveillance provided early warning of unknown community infections and informed timely public health decisions to limit their spread when case numbers were low. To achieve this, we developed a methodological approach sensitive to extremely low viral loads and could readily identify false positives within short turnaround times. Here, we describe the successful development, implementation, and evaluation of analytic methods using Reverse Transcriptase Quantitative Polymerase Chain Reaction (RT-qPCR) and amplicon sequencing in tandem with CRISPR DETECTR in an ongoing, large-scale surveillance programme to detect SARS-CoV-2 in wastewater in Victoria, Australia. Our study covers ten months, from July 2020 to April 2021, and includes all state-wide health districts and prolonged periods with no known, active community cases among the ∼6.7 million population.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在低病例环境中大规模检测废水中SARS-CoV-2的多层战略为公共卫生行动提供了信心。
废水监测在监测全球SARS-CoV-2传播方面发挥了关键作用。然而,在长期低社区传播的区域制定和实施支撑这些规划的方法已被证明具有挑战性。在澳大利亚维多利亚州,废水监测提供了未知社区感染的早期预警,并在病例数较低时及时告知公共卫生决策,以限制其传播。为了实现这一目标,我们开发了一种对极低病毒载量敏感的方法,可以在短的周转时间内轻松识别假阳性。在这里,我们描述了在澳大利亚维多利亚州正在进行的大规模监测项目中,利用逆转录酶定量聚合酶链反应(RT-qPCR)和扩增子测序与CRISPR DETECTR串联的分析方法的成功开发、实施和评估,以检测废水中的SARS-CoV-2。我们的研究涵盖了10个月,从2020年7月到2021年4月,包括所有州卫生区和670万人口中没有已知活跃社区病例的较长时期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of water and health
Journal of water and health 环境科学-环境科学
CiteScore
3.60
自引率
8.70%
发文量
110
审稿时长
18-36 weeks
期刊介绍: Journal of Water and Health is a peer-reviewed journal devoted to the dissemination of information on the health implications and control of waterborne microorganisms and chemical substances in the broadest sense for developing and developed countries worldwide. This is to include microbial toxins, chemical quality and the aesthetic qualities of water.
期刊最新文献
Recurrent outbreaks of cholera in Nigeria: a narrative review on the role of conflict and climate change. Climate change and water-related diseases: a bibliometric, knowledge map, topic modeling, and content analysis. Identification and characterization of Escherichia coli isolated from the surface water of the Laramie River, Wyoming. Silver tungstate/magnesium oxide nanocomposite as a high-performance adsorbent for bromide removal from aqueous systems. Case-control study of water and agricultural exposures among women in CKDu-endemic Sri Lanka.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1