Estimating SARS-CoV-2 prevalence from large-scale wastewater surveillance: insights from combined analysis of 44 sites in England

Morvan, M.; Lojacomo, A.; Souque, C.; Wade, M.; Hoffmann, T.; Pouwels, K.; Singer, A. ORCID: https://orcid.org/0000-0003-4705-6063; Bunce, J.; Engeli, A.; Grimsley, J.; O'Reilly, K.; Danon, L.. 2022 Estimating SARS-CoV-2 prevalence from large-scale wastewater surveillance: insights from combined analysis of 44 sites in England. International Journal of Infectious Diseases, 116 (supplement). S24. https://doi.org/10.1016/j.ijid.2021.12.057

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Abstract/Summary

An abstract presented at the Eighth International Meeting on Emerging Diseases and Surveillance (IMED 2021), November 4-6, 2021, Virtual Meeting. Wastewater-based epidemiology complements and strengthens traditional surveillance, with significant implications for public health. Using wastewater to quantify infection prevalence requires knowledge of additional meta-data and outbreak detection needs to account for unexplained aberrations in wastewater data to improve reliability.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.ijid.2021.12.057
UKCEH and CEH Sections/Science Areas:	Pollution (Science Area 2017-)
ISSN:	1201-9712
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available vai Official URL link.
Additional Keywords:	Covid-19
NORA Subject Terms:	Health
Date made live:	05 Mar 2022 13:38 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532198

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