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

Rebecca Schill,

Kara L. Nelson, Sasha Harris-Lovett

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Nov. 24, 2022

Abstract 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 sequentially Epsilon/Alpha, Delta, Omicron BA.1 variant surges also related rate. Based this analysis, we present a framework scenarios describing dynamics aid handling decisions ongoing modeling efforts.

Language: Английский

Wastewater-based surveillance as a tool for public health action: SARS-CoV-2 and beyond DOI
Michael D. Parkins,

Bonita E. Lee,

Nicole Acosta

et al.

Clinical Microbiology Reviews, Journal Year: 2023, Volume and Issue: 37(1)

Published: Dec. 14, 2023

SUMMARY Wastewater-based surveillance (WBS) has undergone dramatic advancement in the context of coronavirus disease 2019 (COVID-19) pandemic. The power and potential this platform technology were rapidly realized when it became evident that not only did WBS-measured SARS-CoV-2 RNA correlate strongly with COVID-19 clinical within monitored populations but also, fact, functioned as a leading indicator. Teams from across globe innovated novel approaches by which wastewater could be collected diverse sewersheds ranging treatment plants (enabling community-level surveillance) to more granular locations including individual neighborhoods high-risk buildings such long-term care facilities (LTCF). Efficient processes enabled extraction concentration highly dilute matrix. Molecular genomic tools identify, quantify, characterize its various variants adapted programs applied these mixed environmental systems. Novel data-sharing allowed information mobilized made immediately available public health government decision-makers even public, enabling evidence-informed decision-making based on local dynamics. WBS since been recognized tool transformative potential, providing near-real-time cost-effective, objective, comprehensive, inclusive data changing prevalence measured analytes space time populations. However, consequence rapid innovation hundreds teams simultaneously, tremendous heterogeneity currently exists literature. This manuscript provides state-of-the-art review established details current work underway expanding scope other infectious targets.

Language: Английский

Citations

52
Evaluation of plasmid pBI143 for its optimal concentration methods, seasonal impact, and potential as a normalization parameter in wastewater-based epidemiology DOI Creative Commons
Bikash Malla, Sadhana Shrestha, Niva Sthapit

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 965, P. 178661 - 178661

Published: Feb. 1, 2025

Language: Английский

Citations

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

Rebecca Schill,

Kara L. Nelson, Sasha Harris-Lovett

et al.

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

Citations

32
Have genetic targets for faecal pollution diagnostics and source tracking revolutionized water quality analysis yet? DOI Creative Commons
Katalin Demeter, Rita Linke, Elisenda Ballesté

et al.

FEMS Microbiology Reviews, Journal Year: 2023, Volume and Issue: 47(4)

Published: June 7, 2023

The impacts of nucleic acid-based methods - such as PCR and sequencing to detect analyze indicators, genetic markers or molecular signatures microbial faecal pollution in health-related water quality research were assessed by rigorous literature analysis. A wide range application areas study designs has been identified since the first more than 30 years ago (>1100 publications). Given consistency assessment types, we suggest defining this emerging part science a new discipline: diagnostics (GFPD) Undoubtedly, GFPD already revolutionized detection (i.e., traditional alternative general indicator/marker analysis) source tracking host-associated analysis), current core applications. is also expanding many other areas, including infection health risk assessment, evaluation treatment, support wastewater surveillance. In addition, storage DNA extracts allows for biobanking, which opens up perspectives. tools can be combined with cultivation-based standardized indicator enumeration, pathogen detection, various environmental data an integrated analysis approach. This comprehensive meta-analysis provides scientific status quo field, trend analyses statistics, outlining discusses benefits challenges GFPD.

Language: Английский

Citations

25
Current state and future perspectives on de facto population markers for normalization in wastewater-based epidemiology: A systematic literature review DOI
Tim Boogaerts, Natan Van Wichelen, Maarten Quireyns

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 173223 - 173223

Published: May 16, 2024

Language: Английский

Citations

9
COVID-19 hospitalizations and deaths predicted by SARS-CoV-2 levels in Boise, Idaho wastewater DOI
Swarna Kanchan,

Ernie Ogden,

Minu Kesheri

et al.

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

Published: Oct. 17, 2023

Language: Английский

Citations

19
Assessment of seasonality and normalization techniques for wastewater-based surveillance in Ontario, Canada DOI Creative Commons
Hadi A. Dhiyebi, Joud Abu Farah, Heather Ikert

et al.

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: Aug. 30, 2023

Introduction Wastewater-based surveillance is at the forefront of monitoring for community prevalence COVID-19, however, continued uncertainty exists regarding use fecal indicators normalization SARS-CoV-2 virus in wastewater. Using three communities Ontario, sampled from 2021–2023, seasonality a viral indicator (pepper mild mottle virus, PMMoV) and utility data to improve correlations with clinical cases was examined. Methods Wastewater samples Warden, Humber Air Management Facility (AMF), Kitchener were analyzed SARS-CoV-2, PMMoV, crAssphage. The PMMoV flow rates examined compared by Season-Trend-Loess decomposition analysis. effects using crAssphage, comparing episode date (CBED) during 2021. Results Seasonal analysis demonstrated that had similar trends AMF peaks January April 2022 low concentrations (troughs) summer months. Warden but more sporadic between troughs concentrations. Flow not correlated very weak ( r = 0.12). Despite differences among sewersheds, unnormalized (raw N1–N2) concentration wastewater n 99–191) strongly CBED 0.620–0.854) Additionally, did significantly reduced Kitchener. crAssphage 29–57) all sites different raw N1–N2 CBED. Discussion Differences seasonal biomarkers caused sewershed characteristics (flow, input, etc.) may play role determining how effective be improving (or not). This study highlights importance assessing influence on normalized or other viruses concern. Fecal used normalize target interest help hinder establishing outcomes wastewater-based needs considered carefully across seasons sites.

Language: Английский

Citations

18
Beyond COVID-19: Wastewater-based epidemiology for multipathogen surveillance and normalization strategies DOI Creative Commons
Bikash Malla, Sadhana Shrestha, Niva Sthapit

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174419 - 174419

Published: July 2, 2024

Wastewater-based epidemiology (WBE) is a critical tool for monitoring community health. Although much attention has focused on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causative agent of disease 2019 (COVID-19), other pathogens also pose significant health risks. This study quantified the presence SARS-CoV-2, influenza A virus (Inf-A), and noroviruses genogroups I (NoV-GI) II (NoV-GII) in wastewater samples collected weekly (n = 170) from July 2023 to February 2024 five treatment plants (WWTPs) Yamanashi Prefecture, Japan, by quantitative PCR. Inf-A RNA exhibited localized prevalence with positive ratios 59 %–82 % different WWTPs, suggesting regional outbreaks within specific areas. NoV-GI (94 %, 160/170) NoV-GII (100 170/170) were highly prevalent, (6.1 ± 0.8 log10 copies/L) consistently exceeding (5.4 0.7 concentrations. SARS-CoV-2 was detected 100 samples, mean concentrations 5.3 0.5 copies/L WWTP E 5.8 0.4 each WWTPs. Seasonal variability evident, higher all pathogenic viruses during winter. Non-normalized normalized fecal indicator bacteria (Escherichia coli total coliforms), an (pepper mild mottle (PMMoV)), turbidity revealed associations reported cases. + GII showed strong correlations gastroenteritis cases, particularly when E. (Spearman's ρ 0.70–0.81) coliforms (ρ 0.70–0.81), respectively. For non-normalized correlation 0.61, decreasing 0.31 PMMoV, that PMMoV unsuitable. Turbidity normalization yielded suboptimal results. underscored importance selecting suitable parameters tailored accurate trend using WBE, demonstrating its utility beyond COVID-19 surveillance.

Language: Английский

Citations

5
Environmental Dissemination of SARS-CoV-2: An Analysis Employing Crassphage and Next-Generation Sequencing Protocols DOI
André Vinicius Costa Ribeiro, Camille Ferreira Mannarino, Tiago Leal

et al.

Food and Environmental Virology, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 7, 2025

Language: Английский

Citations

0
A Perspective on Wastewater and Environmental Surveillance as a Public Health Tool for Low- and Middle-Income Countries DOI Creative Commons
Mohammad S. Khan, Christian Wurzbacher, Anna Uchaikina

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 238 - 238

Published: Jan. 22, 2025

Geographical variations in infectious diseases create differences public health priorities between high- and low-income countries. Low- middle-income countries (LMICs) face resource constraints that limit adherence to international monitoring standards for wastewater-based epidemiology (WBE). The development of low-cost WBE programs, such as those detect SARS-CoV-2, offers LMICs a promising tool pathogens local concern. In this work, we summarize important wastewater biomarkers their associated challenges, ranging from causing gastroenteritis putative markers plant linked food safety, well antimicrobial resistance. We raise awareness the great potential highlight critical markers, research needs, strategies necessary establish tailored surveillance programs.

Language: Английский

Citations

0