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Lookup NU author(s): Dr Matthew WadeORCiD,
Dr Mathew Brown,
Dr Josh Bunce,
Professor David Graham,
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2021 The AuthorsThe COVID-19 pandemic has put unprecedented pressure on public health resources around the world. From adversity, opportunities have arisen to measure the state and dynamics of human disease at a scale not seen before. In the United Kingdom, the evidence that wastewater could be used to monitor the SARS-CoV-2 virus prompted the development of National wastewater surveillance programmes. The scale and pace of this work has proven to be unique in monitoring of virus dynamics at a national level, demonstrating the importance of wastewater-based epidemiology (WBE) for public health protection. Beyond COVID-19, it can provide additional value for monitoring and informing on a range of biological and chemical markers of human health. A discussion of measurement uncertainty associated with surveillance of wastewater, focusing on lessons-learned from the UK programmes monitoring COVID-19 is presented, showing that sources of uncertainty impacting measurement quality and interpretation of data for public health decision-making, are varied and complex. While some factors remain poorly understood, we present approaches taken by the UK programmes to manage and mitigate the more tractable sources of uncertainty. This work provides a platform to integrate uncertainty management into WBE activities as part of global One Health initiatives beyond the pandemic.
Author(s): Wade MJ, Lo Jacomo A, Armenise E, Brown MR, Bunce JT, Cameron GJ, Fang Z, Farkas K, Gilpin DF, Graham DW, Grimsley JMS, Hart A, Hoffmann T, Jackson KJ, Jones DL, Lilley CJ, McGrath JW, McKinley JM, McSparron C, Nejad BF, Morvan M, Quintela-Baluja M, Roberts AMI, Singer AC, Souque C, Speight VL, Sweetapple C, Walker D, Watts G, Weightman A, Kasprzyk-Hordern B
Publication type: Article
Publication status: Published
Journal: Journal of Hazardous Materials
Issue: Part B
Print publication date: 15/02/2022
Online publication date: 08/10/2021
Acceptance date: 05/10/2021
Date deposited: 24/11/2021
ISSN (print): 0304-3894
ISSN (electronic): 1873-3336
Publisher: Elsevier B.V.
PubMed id: 34655869
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