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SARS-CoV-2 known and unknowns, implications for the water sector and wastewater-based epidemiology to support national responses worldwide: early review of global experiences with the COVID-19 pandemic

Authors :
Dan Deere
Kelly Hill
Peter A. Vanrolleghem
Arash Zamyadi
Nicholas D. Crosbie
Source :
Water Quality Research Journal, Vol 56, Iss 2, Pp 57-67 (2021)
Publication Year :
2021
Publisher :
IWA Publishing, 2021.

Abstract

Wastewater surveillance of pathogens may be a useful tool to help determine whether clinical surveillance of disease is effective or inadequate due to under-reporting and under-detection. In addition, tracking of pathogen concentrations over time could potentially provide a measure of the effectiveness of public health control measures and the impact of the gradual relaxation of these controls. Analysis of wastewater using quantitative molecular methods offers a real-time measure of infections in the community, and thus is expected to provide a more sensitive and rapid indication of changes in infection rates before such effects become detectable by clinical health surveillance. Models may help to back-calculate wastewater prevalence to population prevalence or to correct pathogen counts for wastewater catchment-specific and temporal effects. They may also help to design the wastewater sampling strategy. This article provides a brief summary of the history of pathogen wastewater surveillance to help set the context for the SARS-CoV-2 wastewater-based epidemiology (WBE) programmes currently being undertaken globally. HIGHLIGHTS A brief history of pathogen wastewater surveillance.; Context for current SARS-CoV-2 wastewater-based epidemiology (WBE) programmes.; Recommendations on research and investigation priorities.; Wide potential of modelling is presented together with remaining knowledge gaps.

Details

Language :
English
ISSN :
27098052 and 27098044
Volume :
56
Issue :
2
Database :
OpenAIRE
Journal :
Water Quality Research Journal
Accession number :
edsair.doi.dedup.....853dbec0f4e432a7847765c18101017b