Evidence map›Paper›PMID 36063927›Full record

ArticleThe Science of the total environment2022

Application of neighborhood-scale wastewater-based epidemiology in low COVID-19 incidence situations.

Chamteut Oh, Aijia Zhou, Kate O'Brien, Yusuf Jamal, Hayden Wennerdahl, Arthur R Schmidt, Joanna L Shisler, Antarpreet Jutla, Arthur R Schmidt, Laura Keefer and 2 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

12 authors.

Chamteut OhDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States. Electronic address: co14@illinois.edu.
Aijia ZhouDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
Kate O'BrienSchool of Integrative Biology, University of Illinois Urbana-Champaign, United States.
Yusuf JamalDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, United States.
Hayden WennerdahlIllinois State Water Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, United States.
Arthur R SchmidtDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
Joanna L ShislerDepartment of Microbiology, University of Illinois Urbana-Champaign, United States.
Antarpreet JutlaDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, United States.
Arthur R SchmidtDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States.
Laura KeeferIllinois State Water Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, United States.
William M BrownDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, United States.
Thanh H NguyenDepartment of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, United States; Institute of Genomic Biology, University of Illinois Urbana-Champaign, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE), an emerging approach for community-wide COVID-19 surveillance, was primarily characterized at large sewersheds such as wastewater treatment plants serving a large population. Although informed public health measures can be better implemented for a small population, WBE for neighborhood-scale sewersheds is less studied and not fully understood. This study applied WBE to seven neighborhood-scale sewersheds (average population of 1471) from January to November 2021. Community testing data showed an average of 0.004 % incidence rate in these sewersheds (97 % of monitoring periods reported two or fewer daily infections). In 92 % of sewage samples, SARS-CoV-2 N gene fragments were below the limit of quantification. We statistically determined 10

Indexed as

COVID-19Wastewater-Based Epidemiological MonitoringHumansIncidenceSARS-CoV-2SewageWastewaterSewageWastewaterLow COVID-19 incidenceNeighborhood-scale sewershedsSARS-CoV-2 variant-specific RT-qPCR assaysWastewater-based epidemiology

Identifiers

PMID36063927
PMCPMC9436825

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.