National COVID-19 Wastewater Epidemiology Surveillance Programme

国家 COVID-19 废水流行病学监测计划

• 批准号: NE/V010441/1
• 负责人: Andrew Singer
• 金额: $ 100.81万
• 依托单位: UK CENTRE FOR ECOLOGY & HYDROLOGY
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV010441%2F1
• 关键词: National; COVID; 19; Wastewater; Epidemiology

Wastewater-Based Epidemiology (WBE) requires relatively few resources compared to the systematic testing of populations. WBE is especially promising for novel infectious diseases, where asymptomatic cases might play a significant role in transmitting the virus. However, WBE is only now being used to monitor the spread of a pandemic infectious disease. Early studies by ourselves and others have shown that SARS-CoV-2 RNA can be recovered from wastewater, including from wastewater treatment plants (WWTP) preceding local COVID-19 hospitalisation activity. Given the challenge of making available diagnostic tests to the entire UK population, WBE represents a potentially low-cost and immediate mechanism for understanding levels of infection within large geographic areas.N-WESP aims to compare our methods with those of European & North American WBE teams in an inter-lab trial for understanding, supporting and improving the DEFRA COVID-19 measurements which will feed into the Joint Biosecurity Centre (JBC). We will also compare methods with DEFRA, the EA's and JBC whilst they explore options for finer geographical measurements. N-WESP will empower public health authorities with an optimised surveillance tool with maximal sensitivity and predictive power whose uncertainties have been well characterised.N-WESP will determine whether SARS-CoV-2 RNA in wastewater and sludge is infectious, and to what extent there might be downstream risks to human health. N-WESP will exploit catchment and, uniquely, sub-catchment-scale longitudinal surveillance to understand temporal and spatial heterogeneity, relationships to human disease burden distribution and whether there is potential outbreak 'hotspots' by surveilling sewer system nodes.

与系统的人群测试相比，基于水的流行病学（WBE）需要相对较少的资源。WBE对于新型传染病特别有希望，其中无症状病例可能在传播病毒方面发挥重要作用。然而，WBE现在仅用于监测大流行性传染病的传播。我们和其他人的早期研究表明，SARS-CoV-2 RNA可以从废水中回收，包括在当地COVID-19住院活动之前的废水处理厂（WWTP）。考虑到向整个英国人口提供诊断测试的挑战，WBE代表了一种潜在的低成本和即时机制，用于了解大地理区域内的感染水平。N-WESP旨在将我们的方法与欧洲和北美WBE团队的方法进行实验室间试验，支持和改进DEFRA COVID-19测量，这些测量将输入联合生物安全中心（JBC）。我们还将与DEFRA，EA和JBC的方法进行比较，同时探索更精细的地理测量选项。N-WESP将为公共卫生当局提供具有最大灵敏度和预测能力的优化监测工具，其不确定性已得到很好的表征。N-WESP将确定废水和污泥中的SARS-CoV-2 RNA是否具有传染性，以及对人类健康的下游风险程度。N-WESP将利用集水区和独特的子集水区尺度纵向监测，以了解时间和空间异质性，与人类疾病负担分布的关系，以及通过监测下水道系统节点是否存在潜在的爆发“热点”。

项目成果

Evaluation of variant calling algorithms for wastewater-based epidemiology using mixed populations of SARS-CoV-2 variants in synthetic and wastewater samples.

• DOI: 10.1099/mgen.0.000933
• 发表时间: 2023-04
• 期刊: MICROBIAL GENOMICS
• 影响因子: 3.9
• 作者: Bassano, Irene;Ramachandran, Vinoy K.;Khalifa, Mohammad S.;Lilley, Chris J.;Brown, Mathew R.;van Aerle, Ronny;Denise, Hubert;Rowe, William;George, Airey;Cairns, Edward;Wierzbicki, Claudia;Pickwell, Natalie D.;Carlile, Matthew;Holmes, Nadine;Payne, Alexander;Loose, Matthew;Burke, Terry A.;Paterson, Steve;Wade, Matthew J.;Grimsley, Jasmine M. S.
• 通讯作者: Grimsley, Jasmine M. S.

Population Infection Estimation from Wastewater Surveillance for SARS-CoV-2 in Nagpur, India During the Second Pandemic Wave

第二波大流行期间印度那格浦尔 SARS-CoV-2 废水监测中的人口感染估计

• DOI: 10.2139/ssrn.4349678
• 发表时间: 2023
• 作者: Acheampong E

City-wide wastewater genomic surveillance through the successive emergence of SARS-CoV-2 Alpha and Delta variants.

• DOI: 10.1016/j.watres.2022.119306
• 发表时间: 2022-11-01
• 期刊: WATER RESEARCH
• 影响因子: 12.8
• 作者: Brunner, F. S.;Brown, M. R.;Bassano, I;Denise, H.;Khalifa, M. S.;Wade, M. J.;van Aerle, R.;Kevill, J. L.;Jones, D. L.;Farkas, K.;Jeffries, A. R.;Cairns, E.;Wierzbicki, C.;Paterson, S.
• 通讯作者: Paterson, S.

Occurrence of various viruses and recent evidence of SARS-CoV-2 in wastewater systems.

• DOI: 10.1016/j.jhazmat.2021.125439
• 发表时间: 2021-07-15
• 期刊: Journal of hazardous materials
• 影响因子: 13.6
• 作者: Ali W;Zhang H;Wang Z;Chang C;Javed A;Ali K;Du W;Niazi NK;Mao K;Yang Z
• 通讯作者: Yang Z

Rapid Assessment of SARS-CoV-2 Variant-Associated Mutations in Wastewater Using Real-Time RT-PCR.

• DOI: 10.1128/spectrum.03177-22
• 发表时间: 2023-02-14
• 期刊: Microbiology spectrum
• 影响因子: 3.7