ArticleThe Science of the total environment2023
Variant-specific SARS-CoV-2 shedding rates in wastewater.
Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Harnessing Participatory Surveillance Cohorts and Proxy Indicators to Dynamically Track Epidemic Trends and Undiagnosed COVID-19 Infections in Singapore: Longitudinal Observational Study.Journal of medical Internet research · 2026Observational
- Article
- Wastewater-based epidemiology reveals spatiotemporal dynamics and diurnal temperature range effects on post-pandemic SARS-CoV-2 infection burden in Chongqing, China.Frontiers in public health · 2026Article
- Comprehensive wastewater genomic surveillance in the Netherlands: insights into country-wide SARS-CoV-2 lineage dynamics and implications for future surveillance.BMC public health · 2025Article
- Estimated transmission dynamics of SARS-CoV-2 variants from wastewater are unbiased and robust to differential shedding.Nature communications · 2025Article
- Hospital wastewater surveillance for SARS-CoV-2 identifies intra-hospital dynamics of viral transmission and evolution.Applied and environmental microbiology · 2025Article
- Application of joinpoint regression to SARS-CoV-2 wastewater-based epidemiology in Las Vegas, Nevada, USA.Epidemiology and infection · 2025Article
- Dynamics of SARS-CoV-2 variants in southwest Ohio municipal wastewater.Environmental science : water research & technology · 2025Article
- The influence of environmental factors on the detection and quantification of SARS-CoV-2 variants in dormitory wastewater at a primarily undergraduate institution.Microbiology spectrum · 2025Article
- State-space modelling using wastewater virus and epidemiological data to estimate reported COVID-19 cases and the potential infection numbers.Journal of the Royal Society, Interface · 2025Article
- Article
- Turning analysis into action: opportunities and challenges in implementing wastewater science for public health decision-making.Frontiers in public health · 2025Article
- Genomic surveillance of Canadian airport wastewater samples allows early detection of emerging SARS-CoV-2 lineages.Scientific reports · 2024Article
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- Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand.Communications medicine · 2024Article
- Wastewater-Based Epidemiology for SARS-CoV-2 in Northern Italy: A Spatiotemporal Model.International journal of environmental research and public health · 2024Article
- Temporal assessment of SARS-CoV-2 detection in wastewater and its epidemiological implications in COVID-19 case dynamics.Heliyon · 2024Article
- Dynamic SARS-CoV-2 surveillance model combining seroprevalence and wastewater concentrations for post-vaccine disease burden estimates.Communications medicine · 2024Article
- Article
- A framework for integrating wastewater-based epidemiology and public health.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies show that SARS-CoV-2 waste shedding rates vary by community and are influenced by multiple factors; however, differences in shedding rates across multiple variants have yet to be evaluated. The purpose of this work is to build on previous research that evaluated waste shedding rates for early SARS-CoV-2 and the Delta variant, and update population level waste shedding rates for the more-recent Omicron variant in six communities. Mean SARS-CoV-2 waste shedding rates were found to increase with the predominance of the Delta variant and subsequently decrease with Omicron infections. Interestingly, the Delta stage had the highest mean shedding rates and was associated with the most severe disease symptoms reported in other clinical studies, while Omicron, exhibiting reduced symptoms, had the lowest mean shedding rates. Additionally, shedding rates were most consistent across communities during the Omicron stage. This is the first paper to identify waste shedding rates specific to the Omicron variant and fills a knowledge gap critical to disease prevalence modeling.
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