Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States

Ai, Yuehan; Davis, Angela; Jones, Dan; Lemeshow, Stanley; Tu, Huolin; He, Fan; Ru, Peng; Pan, Xiaokang; Bohrerova, Zuzana; Lee, Ji-Young

doi:10.1016/j.scitotenv.2021.149757

Cited by 133 publications

(168 citation statements)

References 51 publications

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“…Although F-specific RNA bacteriophages may present a higher variability in wastewater compared to crAssphage and PMMoV, the analytical uncertainty related with their quantification by PCR is probably in the same order. To date, there is no or limited evidence of improvement of results with this approach (Ai et al 2021;D'Aoust et al 2021a;Feng et al 2021).…”

Section: Discussionmentioning

confidence: 99%

Monitoring of SARS-CoV-2 in wastewater: what normalisation for improved understanding of epidemic trends?

Sakarovitch

Schlosser

Courtois

et al. 2022

Journal of Water and Health

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SARS-CoV-2 RNA quantification in wastewater has emerged as a relevant additional means to monitor the COVID-19 pandemic. However, the concentration can be affected by black water dilution factors or movements of the sewer shed population, leading to misinterpretation of measurement results. The aim of this study was to evaluate the performance of different indicators to accurately interpret SARS-CoV-2 in wastewater. Weekly/bi-weekly measurements from three cities in France were analysed from February to September 2021. The concentrations of SARS-CoV-2 gene copies were normalised to the faecal-contributing population using simple sewage component indicators. To reduce the measurement error, a composite index was created to combine simultaneously the information carried by the simple indicators. The results showed that the regularity (mean absolute difference between observation and the smoothed curve) of the simple indicators substantially varied across sampling points. The composite index consistently showed better regularity compared to the other indicators and was associated to the lowest variation in correlation coefficient across sampling points. These findings suggest the recommendation for the use of a composite index in wastewater-based epidemiology to compensate for variability in measurement results.

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Section: Discussionmentioning

confidence: 99%

Monitoring of SARS-CoV-2 in wastewater: what normalisation for improved understanding of epidemic trends?

Sakarovitch

Schlosser

Courtois

et al. 2022

Journal of Water and Health

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“…Also, SARS-CoV-2 VOCs have been detected in sewage (pango lineage B.1.1.7 and P.1), suggesting that tracking SARS-CoV-2 variants and their abundance in sewersheds could provide an early warning system for the emergence or spread of more infectious or virulent strains in the community. More recently, SARS-CoV-2 VOCs and VOIs were identified in wastewater samples matching those found in clinical isolates from the same time periods (Ai et al, 2021;Avgeris et al, 2021;Carcereny et al, 2021;Gregory et al, 2021;Heijnen et al, 2021;La Rosa et al, 2021c;Lee et al, 2021;Mishra et al, 2021;Rios et al, 2021;Swift et al, 2021;Wurtz et al, 2021;Yaniv et al, 2021).…”

mentioning

confidence: 78%

A State-of-the-Art Scoping Review on SARS-CoV-2 in Sewage Focusing on the Potential of Wastewater Surveillance for the Monitoring of the COVID-19 Pandemic

Ferraro

Veneri²,

Mancini

et al. 2021

Food Environ Virol

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“…Furthermore, this finding might explain the conflicted findings reported among different studies. For example, Robinson et al [68](Missouri team), the Ohio State [69], and the team at University of Notre Dame [70] reported constant stability of SARS-CoV-2 in wastewater at room temperature for at least 5-7 days, while the findings reported by Weidhaas et al [27] (team from Utah) suggest rapid degradation of the SARS-CoV-2 signal following a first order decay constant at both 4 C, 10 C, or 35 C within 24 h, with the virus signal not being detectable after 12 h of storage at 35 °C. Similar susceptibility to decay and degradation of SARS-CoV-2 RNA by increasing temperature in wastewater were also reported by Ahmed et al [71].…”

Section: Suppression Experimentsmentioning

confidence: 99%

Identification and Quantification of Bioactive Compounds Suppressing SARS-CoV-2 Signals in Wastewater-based Epidemiology Surveillance

Bayati

Hsieh

Hsu

et al. 2022

Preprint

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Recent SARS-CoV-2 wastewater-based epidemiology (WBE) surveillance have documented a positive correlation between the number of COVID-19 patients in a sewershed and the level of viral genetic material in the wastewater. Efforts have been made to use the wastewater SARS-CoV-2 viral load to predict the infected population within each sewershed using a multivariable regression approach. However, reported clear and sustained variability in SARS-CoV-2 viral load among treatment facilities receiving industrial wastewater have made clinical prediction challenging. Several classes of molecules released by regional industries and manufacturing facilities, particularly the food processing industry, can significantly suppress the SARS-CoV-2 signals in wastewater by breaking down the lipid-bilayer of the membranes. Therefore, a systematic ranking process in conjugation with metabolomic analysis was developed to identify the wastewater treatment facilities exhibiting SARS-CoV-2 suppression and identify and quantify the chemicals suppressing the SARS-COV-2 signals. By ranking the viral load per diagnosed case among the sewersheds, we successfully identified the wastewater treatment facilities in Missouri, USA that exhibit SARS-CoV-2 suppression (significantly lower than 5 X 10^11 gene copies/reported case) and determined their suppression rates. Through both untargeted global chemical profiling and targeted analysis of wastewater samples, 40 compounds were identified as candidates of SARS-CoV-2 signal suppression. Among these compounds, 14 had higher concentrations in wastewater treatment facilities that exhibited SARS-CoV-2 signal suppression compared to the unsuppressed control facilities. Stepwise regression analyses indicated that 4-nonylphenol, palmitelaidic acid, sodium oleate, and polyethylene glycol dioleate are positively correlated with SARS-CoV-2 signal suppression rates. Suppression activities were further confirmed by incubation studies, and the suppression kinetics for each bioactive compound were determined. According to the results of these experiments, bioactive molecules in wastewater can significantly reduce the stability of SARS-CoV-2 genetic marker signals. Based on the concentrations of these chemical suppressors, a correction factor could be developed to achieve more reliable and unbiased surveillance results for wastewater treatment facilities that receive wastewater from similar industries.

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Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States

Cited by 133 publications

References 51 publications

Monitoring of SARS-CoV-2 in wastewater: what normalisation for improved understanding of epidemic trends?

Monitoring of SARS-CoV-2 in wastewater: what normalisation for improved understanding of epidemic trends?

A State-of-the-Art Scoping Review on SARS-CoV-2 in Sewage Focusing on the Potential of Wastewater Surveillance for the Monitoring of the COVID-19 Pandemic

Identification and Quantification of Bioactive Compounds Suppressing SARS-CoV-2 Signals in Wastewater-based Epidemiology Surveillance

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