Estimating the Covid-19 Prevalence from Wastewater DOI Creative Commons
Jan Möhring, Neele Leithäuser,

Jaroslaw Wlazlo

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 22, 2023

Abstract Wastewater based epidemiology has become a widely used tool for monitoring trends of concentrations different pathogens, most notably and widespread SARS-CoV-2 RNA. Therefore, in 2022, also Rhineland-Palatinate, the Ministry Science Health included 16 wastewater treatment sites surveillance program providing biweekly samples. However, mere viral load data is subject to strong fluctuations limited value political deciders on its own. by commissioning prevalence study SentiSurv, carried out University Medical Center Johannes Gutenberg Mainz, state Rhineland-Palatinate put itself fortunate position having time series both, representative population. Our main contribution calibration from 2023-01-08 until 2023-10-01 where we identified scaling factor (0.208 +/- 0.031) delay (5.07 2.30 days) between PMMoV-normalized virus self-reported with aid an adequate epidemiological model. We show how that can be estimate when cohort no longer available use it as forecasting instrument several weeks ahead time. quality resulting factors depend strongly samples are normalized.

Language: Английский

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

Simultaneous detection and quantification of multiple pathogen targets in wastewater DOI Creative Commons
Gouthami Rao, Drew Capone, Kevin Zhu

et al.

PLOS Water, Journal Year: 2024, Volume and Issue: 3(2), P. e0000224 - e0000224

Published: Feb. 1, 2024

Wastewater-based epidemiology has emerged as a critical tool for public health surveillance, building on decades of environmental surveillance work pathogens such poliovirus. Work to date been limited monitoring single pathogen or small numbers in targeted studies; however, few studies consider simultaneous quantitative analysis wide variety pathogens, which could greatly increase the utility wastewater surveillance. We developed novel multi-pathogen approach (35 targets including bacteria, viruses, protozoa, and helminths) using TaqMan Array Cards (TAC) applied method concentrated samples collected at four treatment plants Atlanta, GA from February October 2020. From sewersheds serving approximately 2 million people, we detected range many expected find (e.g., enterotoxigenic E . coli Giardia 97% 29 stable concentrations) well unexpected Strongyloides stercoralis (a human threadworm rarely observed USA). Other notable detections included SARS-CoV-2, but also several that are not commonly like Acanthamoeba spp., Balantidium , Entamoeba histolytica astrovirus, norovirus, sapovirus. Our data suggest broad expanding scope enteric wastewaters, with potential application settings where quantification fecal waste streams can inform selection control measures limit infections.

Language: Английский

Citations

15

Identification of environmental and methodological factors driving variability of Pepper Mild Mottle Virus (PMMoV) across three wastewater treatment plants in the City of Toronto DOI Creative Commons
Eyerusalem Goitom, Sarah S. Ariano,

Kim Gilbride

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 932, P. 172917 - 172917

Published: May 1, 2024

PMMoV has been widely used to normalize the concentration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA, influenza, and syncytial virus (RSV) account for variations in fecal content wastewater. is also as an internal RNA recovery control wastewater-based epidemiology (WBE) tests. While potentially useful interpretation WBE data, previous studies have suggested that can be affected by various physico-chemical characteristics There possibility laboratory methods, particularly variability centrifugation steps remove supernatant from pellets cause variability. The goal this study improve our understanding main drivers assessing relationship between concentration, wastewater, methodological approach concentrating wastewater samples. We analyzed 24-hour composite samples collected influent stream three treatment plants (WWTPs) located City Toronto, Ontario, Canada. Samples were 3 5 times per week starting beginning March 2021 mid-July 2023. flow rate was partition data into wet dry weather conditions. Physico-chemical (e.g., total suspended solids (TSS), biological oxygen demand (BOD), alkalinity, electrical conductivity (EC), ammonia (NH

Language: Английский

Citations

6

Estimating the COVID-19 prevalence from wastewater DOI Creative Commons
Jan Möhring, Neele Leithäuser,

Jarosław Wlazło

et al.

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

Published: June 22, 2024

Wastewater based epidemiology has become a widely used tool for monitoring trends of concentrations different pathogens, most notably and widespread SARS-CoV-2. Therefore, in 2022, also Rhineland-Palatinate, the Ministry Science Health included 16 wastewater treatment sites surveillance program providing biweekly samples. However, mere viral load data is subject to strong fluctuations limited value political deciders on its own. state Rhineland-Palatinate commissioned University Medical Center at Johannes Gutenberg Mainz conduct representative cohort study called SentiSurv, which an increasing number up 12,000 participants have been using sensitive antigen self-tests once or twice week test themselves SARS-CoV-2 report their status. This puts fortunate position having time series both, prevalence population. Our main contribution calibration from 2023-01-08 until 2023-10-01 where we identified scaling factor ( 0.208±0.031 ) delay 5.07±2.30 days) between virus wastewater, normalized by pepper mild mottle (PMMoV), recorded SentiSurv study. The relation established fitting epidemiological model both series. We show how that can be estimate when no longer available use it as forecasting instrument several weeks ahead time. quality resulting factors depend strongly samples are normalized.

Language: Английский

Citations

5

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

A comparative analysis of the partitioning behaviour of SARS-CoV-2 RNA in liquid and solid fractions of wastewater DOI Open Access
Patrick Breadner, Hadi A. Dhiyebi,

Azar Fattahi

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 895, P. 165095 - 165095

Published: June 23, 2023

Language: Английский

Citations

11

Temporal assessment of SARS-CoV-2 detection in wastewater and its epidemiological implications in COVID-19 case dynamics DOI Creative Commons
Lin Li, Laura Haak, Madeline Carine

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29462 - e29462

Published: April 1, 2024

This research evaluated the relationship between daily new Coronavirus Disease 2019 (COVID-19) cases and Severe Acute Respiratory Syndrome 2 (SARS-CoV-2) concentrations in wastewater, followed by effects of differential SARS-CoV-2 shedding loads across various COVID-19 outbreaks. Linear regression analyses were utilized to examine lead time signal wastewater relative clinical cases. During Delta wave, no was evident, highlighting limited predictive capability monitoring during this phase. However, significant times observed Omicron potentially attributed testing capacity overload subsequent case reporting delays or changes patterns. Post-Omicron wave (Febuary 23 May 19, 2022), discernible, whereas following lifting state emergency (May 30, 2022 2023), correlation coefficient increased demonstrated potential surveillance as an early warning system. Subsequently, we explored virus through feces, operationalized ratio varied significantly Delta, Omicron, other variants post-state-emergency phases, with Kruskal-Wallis H test confirming a difference medians these stages (P < 0.0001). Despite its promise, disease prevalence presents several challenges, including variability, data interpretation complexity, impact environmental factors on viral degradation, lack standardized procedures. Overall, our findings offer insights into concentrations, variation different pandemic underscore promise limitations system for trends.

Language: Английский

Citations

4

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

Hydrological and physicochemical parameters associated with SARS-CoV-2 and pepper mild mottle virus wastewater concentrations for a large-combined sewer system DOI Creative Commons

Luan Thanh,

Mounia Hachad,

Natasha McQuaid

et al.

Journal of Water and Health, Journal Year: 2025, Volume and Issue: 23(3), P. 413 - 427

Published: Jan. 21, 2025

ABSTRACT During COVID-19, surveillance of SARS-CoV-2 in wastewater has been a promising tool for tracking viral infection at the community level. However, addition to shedding rates within community, concentrations raw are influenced by several environmental factors. This study investigated effects characteristics on quantification and pepper mild mottle virus (PMMoV) large system with combined sewers. Principal component analysis illustrated that water temperature negatively correlates PMMoV wastewater, but flow rate EC highly correlated spring winter. The normalization using enhanced correlation clinical data compared pH, rate, SARS-CoV-2. reduced data. Multiple linear random forest (RF) applied predict given confirmed cases physicochemical parameters. RF regression was best model (R2=0.8), most important variables being followed temperature. is potent predictor presence wastewater. enhances degree reliability between outbreaks monitoring.

Language: Английский

Citations

0

Wastewater Speaks: Evaluating SARS-CoV-2 Surveillance, Sampling Methods, and Seasonal Infection Trends on a University Campus DOI Creative Commons
Shilpi Bhatia,

Tinyiko Nicole Maswanganye,

Olusola Jeje

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(4), P. 924 - 924

Published: April 17, 2025

Wastewater surveillance has emerged as a cost-effective and equitable approach for tracking the spread of SARS-CoV-2. In this study, we monitored prevalence SARS-CoV-2 on university campus over three years (2021–2023) using wastewater-based epidemiology (WBE). samples were collected from 11 manholes campus, each draining wastewater corresponding dormitory building, viral RNA concentrations measured reverse transcription-quantitative PCR (RT-qPCR). Weekly clinical case data also obtained health center. A strong positive significant correlation was observed between Grab Composite sampling methods, supporting their robustness equally effective approaches sample collection. Specifically, Aggie Village 4 (R2 = 0.84, p 0.00) Barbee 0.80, 0.00). Additionally, higher copies (N1 gene) detected during Spring semester compared to Fall Summer semesters. Notably, elevations in raw N1 shortly after return college students suggesting that these increases predominantly associated with returning at beginning semesters (January August). To account variations fecal loading, normalized Pepper Mild Mottle Virus (PMMoV), widely used biomarker. However, normalization PMMoV did not improve correlations levels data. Despite findings, our study establish WBE consistently reliable complement testing setting, contrary many retrospective studies. One key limitation numerous off-campus contribute system dormitories. some still subjected center under mandated protocols. Moreover, discontinued reporting cases per 2021, making direct comparisons more challenging. Nevertheless, highlights continued value tool monitoring infectious diseases provides critical insights into its application environments.

Language: Английский

Citations

0