Metrics to relate COVID-19 wastewater data to clinical testing dynamics

Xiao, Amy; Wu, Fuqing; Bushman, Mary; Zhang, Jianbo; Imakaev, Maxim; Chai, Peter R.; Duvallet, Claire; Endo, Noriko; Erickson, Timothy; Armas, Federica; Arnold, Brian J.; Chen, Hongjie; Chandra, Franciscus; Ghaeli, Newsha; Gu, Xiaoqiong; Hanage, William P.; Lee, Wei Lin; Matus, Mariana; McElroy, Kyle A.; Moniz, Katya; Rhode, Steven F; Thompson, Janelle R.; Alm, Eric J.

doi:10.1016/j.watres.2022.118070

Cited by 77 publications

(78 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…,moving averages, polynomial interpolations) that have been used to support the interpretation of WBS D’Aoust et al (2021) . However, we note that less complex modelling options are possible if the focus is on specific epidemiological metrics ( Huisman et al, 2021 , Xiao et al, 2021 ). We also note recent efforts to use machine learning techniques and artificial neural network that incorporate WBS Li et al (2021) .…”

Section: Discussionmentioning

confidence: 99%

A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities

et al. 2022

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities

et al. 2022

View full text Add to dashboard Cite

“… 13 Additionally, wastewater has been proposed as an alternative method for estimating the COVID-19 reproductive number 14 or as an indicator of clinical diagnostic testing capacity. 15 Finally, wastewater monitoring provides a powerful approach for monitoring existing and emerging variants at the community level. 39 , 40 In practice, WBE has been applied in multiple ways.…”

Section: Introductionmentioning

confidence: 99%

Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States

Duvallet¹,

McElroy³

et al. 2022

ACS EST Water

Self Cite

View full text Add to dashboard Cite

Wastewater-based epidemiology has emerged as a promising technology for population-level surveillance of COVID-19. In this study, we present results of a large nationwide SARS-CoV-2 wastewater monitoring system in the United States. We profile 55 locations with at least six months of sampling from April 2020 to May 2021. These locations represent more than 12 million individuals across 19 states. Samples were collected approximately weekly by wastewater treatment utilities as part of a regular wastewater surveillance service and analyzed for SARS-CoV-2 RNA concentrations. SARS-CoV-2 RNA concentrations were normalized to pepper mild mottle virus, an indicator of fecal matter in wastewater. We show that wastewater data reflect temporal and geographic trends in clinical COVID-19 cases and investigate the impact of normalization on correlations with case data within and across locations. We also provide key lessons learned from our broad-scale implementation of wastewater-based epidemiology, which can be used to inform wastewater-based epidemiology approaches for future emerging diseases. This work demonstrates that wastewater surveillance is a feasible approach for nationwide population-level monitoring of COVID-19 disease. With an evolving epidemic and effective vaccines against SARS-CoV-2, wastewater-based epidemiology can serve as a passive surveillance approach for detecting changing dynamics or resurgences of the virus.

show abstract

“…The reproducibility, repeatability, and reliability of COVID-19 WBE biosensors can be determined by comparing the wastewater surveillance data utilizing the developed biosensors with the PCR-based sensors as previously reported by Xiao et al [ 161 ]. PCR-based WBE data was compared to the gold standard clinical surveillance data by considering significant quantitative metrics including time lag and transfer function between wastewater and clinical reporting.…”

Section: Challenges and Outlookmentioning

confidence: 99%

A review on the contamination of SARS-CoV-2 in water bodies: Transmission route, virus recovery and recent biosensor detection techniques

Zamhuri

Soon

Nordin

et al. 2022

Sensing and Bio-Sensing Research

View full text Add to dashboard Cite

Metrics to relate COVID-19 wastewater data to clinical testing dynamics

Cited by 77 publications

References 50 publications

A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities

A wastewater-based epidemic model for SARS-CoV-2 with application to three Canadian cities

Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States

A review on the contamination of SARS-CoV-2 in water bodies: Transmission route, virus recovery and recent biosensor detection techniques

Contact Info

Product

Resources

About