Online trend estimation and detection of trend deviations in sub-sewershed time series of SARS-CoV-2 RNA measured in wastewater DOI Creative Commons
Katherine B. Ensor, Julia C. Schedler, T. Sun

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 26, 2023

Abstract Wastewater surveillance has proven a key public health tool to understand wide range of community diseases and be especially critical departments throughout the SARS CoV-2 pandemic. The size population served by wastewater treatment plant (WWTP) may limit targeted insight about disease dynamics. To investigate this concern, samples were obtained at lift stations upstream WWTPs within sewer network. First, an online, semi-automatic time series model is fitted weekly measurements WWTP estimate viral trend for compared observations from stations. Second, deviations are identified using Exponentially Weighted Moving Average (EWMA) control chart. analysis reveals that display slightly different dynamics than larger WWTP, highlighting more granular gleaned sampling sites which represent smaller populations. Discussion focuses on use our methods support rapid decision-making based additional, in times concern.

Language: Английский

Integrating wastewater and randomised prevalence survey data for national COVID surveillance DOI Creative Commons
Guangquan Li, Peter J. Diggle, Marta Blangiardo

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 1, 2024

Abstract During the COVID-19 pandemic, studies in a number of countries have shown how wastewater can be used as an efficient surveillance tool to detect outbreaks at much lower cost than traditional prevalence surveys. In this study, we consider utilisation data post-pandemic setting, which collection health via national randomised surveys will likely run reduced scale; hence affordable ongoing system need combine sparse with non-traditional disease metrics such measurements order estimate progression cost-effective manner. Here, use collected during pandemic model dynamic relationship between spatially granular viral load and prevalence. We then nowcast local under scenario that (i) continue collected; (ii) direct are only available coarser spatial resolution, for example or regional scale. The results from our cross-validation study demonstrate added value improving accuracy reducing uncertainty. Our also highlight importance incorporating scale when nowcasting fine calling maintain some form reduced-scale non-epidemic periods. framework is disease-agnostic could therefore adapted different diseases incorporated into multiplex early detection emerging outbreaks.

Language: Английский

Citations

8
Wastewater solids drive comparability of sampling methods for SARS-CoV-2 wastewater and environmental surveillance DOI Creative Commons

Md Pervez Kabir,

Elizabeth Renouf,

Lakshmi Pisharody

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115374 - 115374

Published: Jan. 1, 2025

Language: Английский

Citations

0
Localised wastewater SARS-CoV-2 levels linked to COVID-19 cases: A long-term multisite study in England DOI Creative Commons
Natalia R. Jones, Richard Elson, Matthew J. Wade

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 962, P. 178455 - 178455

Published: Jan. 1, 2025

Wastewater-based surveillance (WBS) can monitor for the presence of human health pathogens in population. During COVID-19, WBS was widely used to determine wastewater SARS-CoV-2 RNA concentration (concentrations) providing information on community COVID-19 cases (cases). However, studies examining relationship between concentrations and tend be localised or focussed small-scale institutional settings. Few have examined this multiple settings, over long periods, with large sample numbers, nor attempted quantify detail how catchment characteristics affected these. This 18-month study (07/20-12/21) explored correlation quantitative using censored regression. Our analysis >94,000 samples collected from 452 diverse sampling sites (259 Sewage Treatment Works (STW) 193 Sewer Network Sites (SNS)) covering ~65 % English Wastewater were linked ~6 million diagnostically confirmed cases. High coefficients found (STW: median r = 0.66, IQR: 0.57-0.74; SNS: 0.65, 0.54-0.74). The (regression coefficient) variable catchments. Catchment (e.g. size population grab vs automated sampling) had significant but small effects regression coefficients. last six months reduced became highly coincided a shift towards younger cases, vaccinated rapid emergence variant Omicron. programme rapidly introduced at scale during COVID-19. Laboratory methods evolved catchments characteristics. Despite diversity, findings indicate that provides an effective proxy establishing dynamics across wide variety communities. While there is potential predicting concentration, may more smaller scales.

Language: Английский

Citations

0
Modelling COVID-19 epidemic curve in Taipei City, Taiwan by a Citywide Wastewater SARS-CoV-2 Surveillance DOI Creative Commons
Chung-Yen Chen,

Yu-Hsiang Chang,

Chi-Hsin Sally Chen

et al.

Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100635 - 100635

Published: Feb. 1, 2025

Language: Английский

Citations

0
Forecasting COVID-19 Cases, Hospital Admissions, and Deaths Based on Wastewater SARS-CoV-2 Surveillance Using Gaussian Copula Time Series Marginal Regression Model DOI Creative Commons

Hueiwang Anna Jeng,

Norou Diawara,

Nancy Welch

et al.

COVID, Journal Year: 2025, Volume and Issue: 5(2), P. 25 - 25

Published: Feb. 18, 2025

Modeling efforts are needed to predict trends in COVID-19 cases and related health outcomes, aiding the development of management strategies adaptation measures. This study was conducted assess whether SARS-CoV-2 viral load wastewater could serve as a predictor for forecasting cases, hospitalizations, deaths using copula-based time series modeling. RNA Chesapeake, VA, measured RT-qPCR method. A Gaussian copula (CTS) marginal regression model, incorporating an autoregressive moving average model function, used model. Wastewater loads were correlated with cases. The forecasted both Poisson negative binomial distributions yielded that closely paralleled reported 90% falling within 99% confidence interval data. However, did not effectively forecast rising hospital admissions deaths. validated predicting clinical non-normal distribution manner. Additionally, showed potential

Language: Английский

Citations

0
Could chloroxylenol be used as WBE biomarker in gravity sewers? Fates, behaviors and feasible conditions DOI

Xinhui Xia,

Huizhi Mu,

Yujia Du

et al.

Water Research, Journal Year: 2025, Volume and Issue: 278, P. 123376 - 123376

Published: Feb. 25, 2025

Language: Английский

Citations

0
Predicting COVID-19 in Ohio: Insights from wastewater, demographic and socioeconomic data DOI Creative Commons
Fatemeh Rezaeitavabe, Karen T. Coschigano, Guy Riefler

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 969, P. 178938 - 178938

Published: Feb. 27, 2025

Language: Английский

Citations

0
Post-pandemic Surveillance of SARS-CoV-2 in Wastewater Bodies using Integrated Molecular Analysis DOI Creative Commons
Gayatri Gogoi,

Rashmi Rani Boro,

Sarangthem Dinamani Singh

et al.

Cleaner Water, Journal Year: 2025, Volume and Issue: unknown, P. 100079 - 100079

Published: April 1, 2025

Language: Английский

Citations

0
Long-term wastewater monitoring of SARS-CoV-2 viral loads and variants at the major international passenger hub Amsterdam Schiphol Airport: A valuable addition to COVID-19 surveillance DOI Creative Commons
Anne-Merel R. van der Drift, Auke Haver, Astrid Kloosterman

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 937, P. 173535 - 173535

Published: May 25, 2024

Wastewater-based epidemiological surveillance at municipal wastewater treatment plants has proven to play an important role in COVID-19 surveillance. Considering international passenger hubs contribute extensively global transmission of viruses, this type location may be added value as well. The aim study is explore the potential long-term a large hub additional tool for public health during different stages pandemic. Here, we present analysis SARS-CoV-2 viral loads airport by reverse-transcription quantitative polymerase chain reaction (RT-qPCR) from beginning pandemic Feb 2020, and variants whole-genome next-generation sequencing Sep both until 2022, Netherlands. Results are contextualized using (inter)national measures data sources such numbers, clinical national data. Our findings show that was possible throughout period, irrespective measures, were detected quantified 98.6 % (273/277) samples. Emergence variants, identified 91.0 (161/177) sequenced samples, coincided with increases loads. Furthermore, trends load variant detection closely followed, some cases preceded, daily average epidemiology valuable addition classical developed expertise can applied preparedness plans other (emerging) pathogens future.

Language: Английский

Citations

3
Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand DOI Creative Commons
Leighton M. Watson, Michael J. Plank, Bridget Armstrong

et al.

Communications Medicine, Journal Year: 2024, Volume and Issue: 4(1)

Published: July 15, 2024

Timely and informed public health responses to infectious diseases such as COVID-19 necessitate reliable information about infection dynamics. The case ascertainment rate (CAR), the proportion of infections that are reported cases, is typically much less than one varies with testing practices behaviours, making cases unreliable sole source data. concentration viral RNA in wastewater samples provides an alternate measure prevalence not affected by clinical testing, healthcare-seeking behaviour or access care.

Language: Английский

Citations

3