Abstract
Genomic surveillance of SARS-CoV-2 has provided a critical evidence base for public health decisions throughout the pandemic. Sequencing data from clinical cases has helped to understand disease transmission and the spread of novel variants. Genomic wastewater surveillance can offer important, complementary information by providing frequency estimates of all variants circulating in a population without sampling biases. Here we show that genomic SARS-CoV-2 wastewater surveillance can detect fine-scale differences within urban centres, specifically within the city of Liverpool, UK, during the emergence of Alpha and Delta variants between November 2020 and June 2021. Furthermore, wastewater and clinical sequencing match well in the estimated timing of new variant rises and the first detection of a new variant in a given area may occur in either clinical or wastewater samples. The study's main limitation was sample quality when infection prevalence was low in spring 2021, resulting in a lower resolution of the rise of the Delta variant compared to the rise of the Alpha variant in the previous winter. The correspondence between wastewater and clinical variant frequencies demonstrates the reliability of wastewater surveillance. However, discrepancies in the first detection of the Alpha variant between the two approaches highlight that wastewater monitoring can also capture missing information, possibly resulting from asymptomatic cases or communities less engaged with testing programmes, as found by a simultaneous surge testing effort across the city.
Original language | English |
---|---|
Article number | 119306 |
Journal | Water Research |
Volume | 226 |
DOIs | |
Publication status | Published - 1 Nov 2022 |
Bibliographical note
Funding Information:Funding was provided by NERC (NE/V003860/1) and DHSC UK (2020_097). This report is independent research funded by the Department of Health and Social Care. The views expressed in this publication are those of the authors and not necessarily those of the Department of Health and Social Care. COG-UK is supported by funding from the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) [grant code:MC_PC_19027], and Genome Research Limited, operating as the Wellcome Sanger Institute.
Funding Information:
We thank R. Crompton, B. Jones, G. Airey, T. Foster, N. Kadu, C. Nelson and A. Lucaci for help with processing samples and sequencing and United Utilities for providing wastewater catchment mapping data. Funding was provided by NERC (NE/V003860/1) and DHSC UK (2020_097). This report is independent research funded by the Department of Health and Social Care. The views expressed in this publication are those of the authors and not necessarily those of the Department of Health and Social Care. COG-UK is supported by funding from the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) [grant code:MC_PC_19027], and Genome Research Limited, operating as the Wellcome Sanger Institute.
Publisher Copyright:
© 2022 The Authors
Keywords
- COVID-19
- Coronavirus variants
- Public health monitoring
- Wastewater sequencing
- Wastewater-based epidemiology