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

Recent progress on wastewater-based epidemiology for COVID-19 surveillance: A systematic review of analytical procedures and epidemiological modeling DOI Open Access
Stéfano Ciannella, Cristina González-Fernández, Jenifer Gómez‐Pastora

et al.

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

Published: March 21, 2023

Language: Английский

Citations

60

Wastewater-based epidemiology predicts COVID-19-induced weekly new hospital admissions in over 150 USA counties DOI Creative Commons
Xuan Li, Huan Liu, Li Gao

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: July 28, 2023

Although the coronavirus disease (COVID-19) emergency status is easing, COVID-19 pandemic continues to affect healthcare systems globally. It crucial have a reliable and population-wide prediction tool for estimating COVID-19-induced hospital admissions. We evaluated feasibility of using wastewater-based epidemiology (WBE) predict weekly new hospitalizations in 159 counties across 45 states United States America (USA), covering population nearly 100 million. Using county-level wastewater surveillance data (over 20 months), WBE-based models were established through random forest algorithm. accurately predicted admissions, allowing preparation window 1-4 weeks. In real applications, periodically updated showed good accuracy transferability, with mean absolute error within 4-6 patients/100k upcoming hospitalization numbers. Our study demonstrated potential WBE as an effective method provide early warnings systems.

Language: Английский

Citations

41

Moving forward with COVID-19: Future research prospects of wastewater-based epidemiology methodologies and applications DOI Open Access
Guangming Jiang, Yanchen Liu, Song Tang

et al.

Current Opinion in Environmental Science & Health, Journal Year: 2023, Volume and Issue: 33, P. 100458 - 100458

Published: March 7, 2023

Language: Английский

Citations

29

Prediction of COVID-19 positive cases, a nation-wide SARS-CoV-2 wastewater-based epidemiology study DOI Open Access
Veljo Kisand, Peeter Laas, Kadi Palmik

et al.

Water Research, Journal Year: 2023, Volume and Issue: 231, P. 119617 - 119617

Published: Jan. 18, 2023

Language: Английский

Citations

24

Detection of the clinically persistent, pathogenic yeast spp. Candida auris from hospital and municipal wastewater in Miami-Dade County, Florida DOI Creative Commons
Kristina M. Babler,

Mark Sharkey,

Sebastian Arenas

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 898, P. 165459 - 165459

Published: July 12, 2023

Language: Английский

Citations

24

Early detection of local SARS-CoV-2 outbreaks by wastewater surveillance: a feasibility study DOI Creative Commons
Maarten Nauta, Oliver McManus, Kristina Træholt Franck

et al.

Epidemiology and Infection, Journal Year: 2023, Volume and Issue: 151

Published: Jan. 1, 2023

Abstract Wastewater surveillance and quantitative analysis of SARS-CoV-2 RNA are increasingly used to monitor the spread COVID-19 in community. We studied feasibility applying data for early detection local outbreaks. A Monte Carlo simulation model was constructed, on reported variation gene copy concentration faeces faecal masses shed. It showed that, even with a constant number shedders, concentrations found wastewater samples will be large, that it challenging translate viral into incidence estimates, especially when shedders is low. Potential signals hypothetical outbreaks were analysed their performance terms sensitivity specificity signals. The results suggest sudden increase not easily identified basis data, small sampling areas low-incidence situations. However, high combining from multiple consecutive tests, expected improve considerably. developed modelling approach can our understanding SARS-CoV-2.

Language: Английский

Citations

18

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

Predicting COVID-19 Incidence Using Wastewater Surveillance Data, Denmark, October 2021–June 2022 DOI Creative Commons
Oliver McManus, Lasse Engbo Christiansen, Maarten Nauta

et al.

Emerging infectious diseases, Journal Year: 2023, Volume and Issue: 29(8)

Published: July 13, 2023

Analysis of wastewater is used in many settings for surveillance SARS-CoV-2, but it remains unclear how well testing results reflect incidence. Denmark has had an extensive analysis system that conducts 3 weekly tests ≈200 sites and 85% population coverage; the country also offers free SARS-CoV-2 PCR to all residents. Using time series modeling, we found data, combined with information on circulating variants number human performed, closely fitted incidence curve persons positive. The were consistent at a regional level among subpopulation frequently tested healthcare personnel. We data estimate after was reduced minimum March 2022. These imply from large-scale can serve as good proxy COVID-19 epidemic control.

Language: Английский

Citations

17

Results from the SARS-CoV-2 wastewater-based surveillance system in Denmark, July 2021 to June 2022 DOI Creative Commons
Lene Wulff Krogsgaard, Guido Benedetti,

Aina Gudde

et al.

Water Research, Journal Year: 2024, Volume and Issue: 252, P. 121223 - 121223

Published: Jan. 29, 2024

The microbiological analysis of wastewater samples is increasingly used for the surveillance SARS-CoV-2 globally. We described setup process national wastewater-based system in Denmark, presented its main results during first year activities, from July 2021 to June 2022, and discussed their operational significance. Danish was designed cover 85 % population Denmark it entailed taking three weekly 230 sites. Samples were RT-qPCR tested RNA, targeting genetic markers N1, N2 RdRp, two faecal indicators, Pepper Mild Mottle Virus crAssphage. calculated RNA concentration each sampling site monitored view individual testing, at regional levels. attempted use identify potential local outbreaks, we sequenced positive using Nanopore sequencing monitor circulation viral variants Denmark. reached full implementation by October covered up 86.4 population. allowed monitoring trends infections However, contribution identification outbreaks limited extensive information available clinical testing. identified relevant concern, line with human samples. Amidst COVID-19 pandemic, implemented a nationwide that integrated routine Today, while testing community level has been discontinued, on frontline occurrence spread

Language: Английский

Citations

8

Surveillance of SARS-CoV-2 in wastewater by quantitative PCR and digital PCR: a case study in Shijiazhuang city, Hebei province, China DOI Creative Commons

Xiaoru Chai,

Shiyou Liu, Chao Liu

et al.

Emerging Microbes & Infections, Journal Year: 2024, Volume and Issue: 13(1)

Published: March 11, 2024

In this study, we reported the first long-term monitoring of SARS-CoV-2 in wastewater Mainland China from November 2021 to October 2023. The city Shijiazhuang was employed for case study. We developed a triple reverse transcription droplet digital PCR (RT-ddPCR) method using primer-probes simultaneous detection N1 gene, E and Pepper mild mottle virus (PMMoV) achieve accurate quantification RNA wastewater. Both RT-ddPCR commercial multiplex quantitative polymerase chain reaction (RT-qPCR) were implemented City over 24-month period. Results showed that detected time on 10 2022. peak COVID-19 cases occurred middle December 2022, when concentration highest. trend increases decreases forming "long-tailed" shape outbreak recession cycle. results indicated both RT-qPCR are effective detecting wastewater, but is capable low concentrations which more efficient. abundance correlated clinical data, outlining public health utility work.

Language: Английский

Citations

8