Recent progress on wastewater-based epidemiology for COVID-19 surveillance: A systematic review of analytical procedures and epidemiological modeling

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 878, P. 162953 - 162953

Published: March 21, 2023

Language: Английский

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Wastewater-based prediction of COVID-19 cases using a highly sensitive SARS-CoV-2 RNA detection method combined with mathematical modeling

Environment International, Journal Year: 2023, Volume and Issue: 173, P. 107743 - 107743

Published: Jan. 7, 2023

Wastewater-based epidemiology (WBE) has the potential to predict COVID-19 cases; however, reliable methods for tracking SARS-CoV-2 RNA concentrations (C

Language: Английский

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Making waves: Wastewater surveillance of SARS-CoV-2 in an endemic future

Water Research, Journal Year: 2022, Volume and Issue: 219, P. 118535 - 118535

Published: May 3, 2022

Language: Английский

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Citywide wastewater SARS-CoV-2 levels strongly correlated with multiple disease surveillance indicators and outcomes over three COVID-19 waves

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 855, P. 158967 - 158967

Published: Sept. 24, 2022

Language: Английский

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Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage

mSphere, Journal Year: 2023, Volume and Issue: 8(4)

Published: June 20, 2023

Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious burden. The lack high-resolution fecal shedding data severe acute respiratory syndrome 2 (SARS-CoV-2) limits our ability to link WBE measurements In this study, we present longitudinal, quantitative SARS-CoV-2 RNA, well commonly used indicators pepper mild mottle virus (PMMoV) RNA crAss-like phage (crAssphage) DNA. trajectories from 48 SARS-CoV-2-infected individuals suggest highly individualized, dynamic course shedding. Of that provided at least three stool samples spanning more than 14 days, 77% had one or tested positive RNA. We detected PMMoV in sample all 96% (352/367) overall. CrAssphage DNA was 80% (38/48) 48% (179/371) samples. geometric mean concentrations crAssphage across were 8.7 × 10

Language: Английский

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The dynamic relationship between COVID-19 cases and SARS-CoV-2 wastewater concentrations across time and space: Considerations for model training data sets

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 871, P. 162069 - 162069

Published: Feb. 7, 2023

During the COVID-19 pandemic, wastewater-based surveillance has been used alongside diagnostic testing to monitor infection rates. With decline in cases reported public health departments due at-home testing, wastewater data may serve as primary input for epidemiological models, but training these models is not straightforward. We explored factors affecting noise and bias ratio between case collected 26 sewersheds California from October 2020 March 2022. The strength of relationship appeared dependent on sampling frequency population size, was increased by normalization flow rate or count Additionally, lead lag times varied over time space, log-transformed individual concentrations changed time. This decreased Epsilon/Alpha Delta variant surges during Omicron BA.1 surge, also related rate. Based this analysis, we present a framework scenarios describing dynamics aid handling decisions ongoing modeling efforts.

Language: Английский

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Challenges of COVID-19 Case Forecasting in the US, 2020–2021

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(5), P. e1011200 - e1011200

Published: May 6, 2024

During the COVID-19 pandemic, forecasting trends to support planning and response was a priority for scientists decision makers alike. In United States, coordinated by large group of universities, companies, government entities led Centers Disease Control Prevention US Forecast Hub ( https://covid19forecasthub.org ). We evaluated approximately 9.7 million forecasts weekly state-level cases predictions 1–4 weeks into future submitted 24 teams from August 2020 December 2021. assessed coverage central prediction intervals weighted interval scores (WIS), adjusting missing relative baseline forecast, used Gaussian generalized estimating equation (GEE) model evaluate differences in skill across epidemic phases that were defined effective reproduction number. Overall, we found high variation individual models, with ensemble-based outperforming other approaches. generally higher larger jurisdictions (e.g., states compared counties). Over time, performed worst periods rapid changes reported (either increasing or decreasing phases) 95% dropping below 50% during growth winter 2020, Delta, Omicron waves. Ideally, case could serve as leading indicator transmission dynamics. However, while most outperformed naïve model, even accurate unreliable key phases. Further research improve indicators, like cases, leveraging additional real-time data, addressing performance phases, improving characterization forecast confidence, ensuring coherent spatial scales. meantime, it is critical users appreciate current limitations use broad set indicators inform pandemic-related making.

Language: Английский

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Critical Needs for Integrated Surveillance: Wastewater-Based and Clinical Epidemiology in Evolving Scenarios with Lessons Learned from SARS-CoV-2

Food and Environmental Virology, Journal Year: 2024, Volume and Issue: 16(1), P. 38 - 49

Published: Jan. 2, 2024

Abstract During the COVID-19 pandemic, wastewater-based epidemiology (WBE) and clinical surveillance have been used as tools for analyzing circulation of SARS-CoV-2 in community, but both approaches can be strongly influenced by some sources variability. From challenging perspective integrating environmental data, we performed a correlation analysis between concentrations raw sewage incident cases areas served medium-size wastewater treatment plants (WWTPs) from 2021 to 2023. To this aim, datasets were adjusted several variability: WBE data factors including analytical protocol, flow, population size, while adjustments considered demographic composition population. Then, addressed impact on differences among sewerage networks variations frequency type swab tests due changes political regulatory scenarios. Wastewater significantly correlated when restrictive containment measures limited movements effect ( ρ = 0.50) confirmed exclusively through molecular testing 0.49). Moreover, positive (although weak) arose WWTPs located densely populated 0.37) with shorter lengths 0.28). This study provides methodological interpreting which could also useful other infections. Data evaluation possible bias need carefully integrated

Language: Английский

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A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159326 - 159326

Published: Oct. 8, 2022

Language: Английский

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COVID-19 hospitalizations and deaths predicted by SARS-CoV-2 levels in Boise, Idaho wastewater

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 907, P. 167742 - 167742

Published: Oct. 17, 2023

Language: Английский

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