Evidence map›Paper›PMID 35767012›Full record

ArticleEnvironmental health perspectives2022

Evaluation of a Wastewater-Based Epidemiological Approach to Estimate the Prevalence of SARS-CoV-2 Infections and the Detection of Viral Variants in Disparate Oregon Communities at City and Neighborhood Scales.

Blythe A Layton, Devrim Kaya, Christine Kelly, Kenneth J Williamson, Dana Alegre, Silke M Bachhuber, Peter G Banwarth, Jeffrey W Bethel, Katherine Carter, Benjamin D Dalziel and 16 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

26 authors.

Blythe A LaytonSchool of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.ORCID 0000-0003-1855-5306
Devrim KayaSchool of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.ORCID 0000-0002-7115-0845
Christine KellySchool of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.ORCID 0000-0003-2855-7751
Kenneth J WilliamsonDepartment of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA.
Dana AlegreCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0003-0104-5940
Silke M BachhuberDepartment of Integrative Biology, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-9052-2616
Peter G BanwarthBenton County Health Department, Corvallis, Oregon, USA.ORCID 0000-0002-4924-4335
Jeffrey W BethelSchool of Biological and Population Health Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-3276-7965
Katherine CarterCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0003-1661-9687
Benjamin D DalzielDepartment of Integrative Biology, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-9674-2783
Mark DasenkoCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
Matthew GenizaCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
Andrea GeorgeSchool of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.
Anne-Marie GirardCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-5346-981X
Roy HaggertyCollege of Science, OSU, Corvallis, Oregon, USA.
Kathryn A HigleySchool of Nuclear Science and Engineering, OSU, Corvallis, Oregon, USA.
Denise M HynesCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-6436-7157
Jane LubchencoDepartment of Integrative Biology, OSU, Corvallis, Oregon, USA.ORCID 0000-0003-3540-5879
Katherine R McLaughlinDepartment of Statistics, OSU, Corvallis, Oregon, USA.ORCID 0000-0002-9187-4939
F Javier NietoCollege of Public Health and Human Sciences, OSU, Corvallis, Oregon, USA.
Aslan NoakesCollege of Science, OSU, Corvallis, Oregon, USA.
Matthew PetersonCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.ORCID 0000-0003-4422-4463
Adriana D PiemontiDepartment of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA.
Justin L SandersCarlson College of Veterinary Medicine, OSU, Corvallis, Oregon, USA.ORCID 0000-0001-9970-7628
Brett M TylerCenter for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA.
Tyler S RadnieckiSchool of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA.ORCID 0000-0002-5295-3562

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositive correlations have been reported between wastewater SARS-CoV-2 concentrations and a community's burden of infection, disease or both. However, previous studies mostly compared wastewater to clinical case counts or nonrepresentative convenience samples, limiting their quantitative potential.

objectivesThis study examined whether wastewater SARS-CoV-2 concentrations could provide better estimations for SARS-CoV-2 community prevalence than reported cases of COVID-19. In addition, this study tested whether wastewater-based epidemiology methods could identify neighborhood-level COVID-19 hotspots and SARS-CoV-2 variants.

methodsCommunity SARS-CoV-2 prevalence was estimated from eight randomized door-to-door nasal swab sampling events in six Oregon communities of disparate size, location, and demography over a 10-month period. Simultaneously, wastewater SARS-CoV-2 concentrations were quantified at each community's wastewater treatment plant and from 22 Newport, Oregon, neighborhoods. SARS-CoV-2 RNA was sequenced from all positive wastewater and nasal swab samples. Clinically reported case counts were obtained from the Oregon Health Authority.

resultsEstimated community SARS-CoV-2 prevalence ranged from 8 to 1,687/10,000 persons. Community wastewater SARS-CoV-2 concentrations ranged from 2.9 to DISCUSSION: The greater reliability of wastewater SARS-CoV-2 concentrations over clinically reported case counts was likely due to systematic biases that affect reported case counts, including variations in access to testing and underreporting of asymptomatic cases. With these advantages, combined with scalability and low costs, wastewater-based epidemiology can be a key component in public health surveillance of COVID-19 and other communicable infections. https://doi.org/10.1289/EHP10289.

Indexed as

COVID-19SARS-CoV-2HumansOregonPrevalenceReproducibility of ResultsRNA, ViralWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewater

Identifiers

PMID35767012
PMCPMC9241984

What OpenQuestion holds

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Registered trials

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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.