Evidence map›Paper›PMID 35068403›Full record

ArticleEpidemiology and infection2022

Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection.

Sean Cavany, Aaron Bivins, Zhenyu Wu, Devin North, Kyle Bibby, T Alex Perkins

Erratum issuedAbstract read
In one paragraph

Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  5. Wastewater-Based Epidemiology for SARS-CoV-2 in Northern Italy: A Spatiotemporal Model.International journal of environmental research and public health · 2024
    Article
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  8. Using wastewater to overcome health disparities among rural residents.Geoforum; journal of physical, human, and regional geosciences · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sean CavanyDepartment of Biological Sciences, University of Notre Dame, Notre Dame, USA.ORCID https://orcid.org/0000-0002-2559-797X
Aaron BivinsDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, USA.
Zhenyu WuDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, USA.
Devin NorthDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, USA.
Kyle BibbyDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, USA.
T Alex PerkinsDepartment of Biological Sciences, University of Notre Dame, Notre Dame, USA.ORCID https://orcid.org/0000-0002-7518-4014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of the coronavirus disease-2019 (COVID-19) pandemic, there has been interest in using wastewater monitoring as an approach for disease surveillance. A significant uncertainty that would improve the interpretation of wastewater monitoring data is the intensity and timing with which individuals shed RNA from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into wastewater. By combining wastewater and case surveillance data sets from a university campus during a period of heightened surveillance, we inferred that individual shedding of RNA into wastewater peaks on average 6 days (50% uncertainty interval (UI): 6-7; 95% UI: 4-8) following infection, and that wastewater measurements are highly overdispersed [negative binomial dispersion parameter, k = 0.39 (95% credible interval: 0.32-0.48)]. This limits the utility of wastewater surveillance as a leading indicator of secular trends in SARS-CoV-2 transmission during an epidemic, and implies that it could be most useful as an early warning of rising transmission in areas where transmission is low or clinical testing is delayed or of limited capacity.

Indexed as

Virus SheddingCOVID-19RNA, ViralSARS-CoV-2Time FactorsWastewaterRNA, ViralWastewaterCOVID-19environmental monitoringpublic health surveillanceSARS-CoV-2virus sheddingwaste waterwastewater-based epidemiological monitoring

Identifiers

PMID35068403
PMCPMC8795777

What OpenQuestion holds

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LicenceCC BY
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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.