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Reviews of "Wastewater Surveillance of SARS-CoV-2 across 40 U.S. states"

Reviewers: Rosa Pintó (University of Barcelona) | 📒📒📒◻️◻️ • Ahmed Yousef (Khalifa University of Science and Technology) | 📗📗📗📗◻️ • Glenn Simmons (University of Minnesota) | 📒📒📒◻️◻️

Published onJun 16, 2021
Reviews of "Wastewater Surveillance of SARS-CoV-2 across 40 U.S. states"
key-enterThis Pub is a Review of
Wastewater Surveillance of SARS-CoV-2 across 40 U.S. states

AbstractWastewater-based disease surveillance is a promising approach for monitoring community outbreaks. Here we describe a nationwide campaign to monitor SARS-CoV-2 in the wastewater of 159 counties in 40 U.S. states, covering 13% of the U.S. population from February 18 to June 2, 2020. Out of 1,751 total samples analyzed, 846 samples were positive for SARS-CoV-2 RNA, with overall viral concentrations declining from April to May. Wastewater viral titers were consistent with, and appeared to precede, clinical COVID-19 surveillance indicators, including daily new cases. Wastewater surveillance had a high detection rate (>80%) of SARS-CoV-2 when the daily incidence exceeded 13 per 100,000 people. Detection rates were positively associated with wastewater treatment plant catchment size. To our knowledge, this work represents the largest-scale wastewater-based SARS-CoV-2 monitoring campaign to date, encompassing a wide diversity of wastewater treatment facilities and geographic locations. Our findings demonstrate that a national wastewater-based approach to disease surveillance may be feasible and effective.

To read the original manuscript, click the link above.

Summary of Reviews: This preprint reports a high detection rate of SARS-CoV-2 using wastewater surveillance and finds that virus detection precedes clinical indicators. Reviewers deem these findings potentially informative, recommending large scale studies to confirm findings.

Reviewer 1 (Rosa Pintó) | 📒📒📒◻️◻️

Reviewer 2 (Ahmed Yousef) | 📗📗📗📗◻️

Reviewer 3 (Glenn Simmons) | 📒📒📒 ◻️◻️

RR:C19 Strength of Evidence Scale Key

📕 ◻️◻️◻️◻️ = Misleading

📙📙 ◻️◻️◻️ = Not Informative

📒📒📒 ◻️◻️ = Potentially Informative

📗📗📗📗◻️ = Reliable

📘📘📘📘📘 = Strong

To read the reviews, click the links below. 

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