Global wastewater surveillance for pathogens with pandemic potential: opportunities and challenges
File(s)
Published version
Author(s)
Grassly, Nicholas
Shaw, Alexander G
Owusu, Michael
Type
Journal Article
Abstract
Wastewater surveillance holds great promise as a sensitive method to detect spillover of zoonotic infections and early pandemic emergence, thereby informing risk mitigation and public health response. Known viruses with pandemic potential are shed in human stool or urine, or both, and the experiences with SARS-CoV-2, monkeypox virus, and Zika virus highlight the feasibility of community-based wastewater surveillance for pandemic viruses that have different transmission routes. We reviewed human shedding and wastewater surveillance data for prototype viruses representing viral families of concern to estimate the likely sensitivity of wastewater surveillance compared with that of clinical surveillance. We examined how data on wastewater surveillance detection, together with viral genetic sequences and animal faecal biomarkers, could be used to identify spillover infections or early human transmission and adaptation. The opportunities and challenges associated with global wastewater surveillance for the prevention of pandemics are described in this Personal View, focusing on low-income and middle-income countries, where the risk of pandemic emergence is the highest. We propose a research and public health agenda to ensure an equitable and sustainable solution to these challenges.
Date Issued
2025-01-01
Date Acceptance
2024-07-01
Citation
The Lancet Microbe, 2025, 6 (1)
ISSN
2666-5247
Publisher
Elsevier
Journal / Book Title
The Lancet Microbe
Volume
6
Issue
1
Copyright Statement
© 2024 The Author(s). Published by Elsevier Ltd. This is an open access
article under the CC BY license (http://creativecommons.org/licenses/
by/4.0/).
article under the CC BY license (http://creativecommons.org/licenses/
by/4.0/).
License URL
Identifier
https://www.thelancet.com/journals/lanmic/article/PIIS2666-5247(24)00192-7/fulltext
Publication Status
Published
Article Number
100939
Date Publish Online
2024-08-30