Evidence map›Paper›PMID 37379453›Full record

ArticleWater research2023

When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs?

Yuke Wang, Pengbo Liu, Jamie VanTassell, Stephen P Hilton, Lizheng Guo, Orlando Sablon, Marlene Wolfe, Lorenzo Freeman, Wayne Rose, Carl Holt and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Yuke WangCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Pengbo LiuCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Jamie VanTassellCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Stephen P HiltonCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Lizheng GuoCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Orlando SablonCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Marlene WolfeCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Lorenzo FreemanCity of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA.
Wayne RoseCity of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA.
Carl HoltCity of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA.
Mikita BrowningCity of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA.
Michael BryanGeorgia Department of Public Health, Atlanta, GA 30303, USA.
Lance WallerDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Peter F M TeunisCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Christine L MoeCenter for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
Emory University · USGeorgia Department of Public Health · US

Funding

AWARD A CONTRACT FOR RADX TECH - CERES TO DEVELOP A WASTEWATER COVID-19 SURVEILLANCE FRAMEWORK DRIVEN BY PUBLIC HEALTH AUTHORITIES AT CITY, COUNTY AND75N92021C00012 · NHLBI · CERES NANOSCIENCES, LLLP · PI DUNLAP, ROSS · 2021 to 2021
$8.2M
NHLBI NIH HHS 75N92021C00012
6 · The paper itself

Abstract

Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.

Indexed as

COVID-19HumansRNA, ViralSARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterAdaptive samplingCommunity levelCOVID-19HotspotSampling designWastewater surveillance

Identifiers

PMID37379453
PMCPMC9763902
OpenAlexW4311964181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.