Evidence map›Paper›PMID 35457720›Full record

ArticleInternational journal of environmental research and public health2022

High Sensitivity and Specificity of Dormitory-Level Wastewater Surveillance for COVID-19 during Fall Semester 2020 at Syracuse University, New York.

Alex Godinez, Dustin Hill, Bryan Dandaraw, Hyatt Green, Pruthvi Kilaru, Frank Middleton, Sythong Run, Brittany L Kmush, David A Larsen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  12. Structured Ethical Review for Wastewater-Based Testing.medRxiv : the preprint server for health sciences · 2023
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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

9 authors at 3 institutions in 1 country.

Alex GodinezDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.
Dustin HillDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.ORCID 0000-0002-4073-6093
Bryan DandarawDepartment of Environmental Sciences, College of Environmental Sciences and Forestry, State University of New York, Syracuse, NY 13210, USA.
Hyatt GreenDepartment of Environmental Biology, College of Environmental Sciences and Forestry, State University of New York, Syracuse, NY 13210, USA.
Pruthvi KilaruDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.
Frank MiddletonDepartment of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, NY 13210, USA.
Sythong RunDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.
Brittany L KmushDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.
David A LarsenDavid B. Falk College of Sports and Human Dynamics, Syracuse University, Syracuse, NY 13244, USA.ORCID 0000-0002-1876-6536
Syracuse University · USState University of New York · USSUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A residential building's wastewater presents a potential non-invasive method of surveilling numerous infectious diseases, including SARS-CoV-2. We analyzed wastewater from 16 different residential locations at Syracuse University (Syracuse, NY, USA) during fall semester 2020, testing for SARS-CoV-2 RNA twice weekly and compared the presence of clinical COVID-19 cases to detection of the viral RNA in wastewater. The sensitivity of wastewater surveillance to correctly identify dormitories with a case of COVID-19 ranged from 95% (95% confidence interval [CI] = 76-100%) on the same day as the case was diagnosed to 73% (95% CI = 53-92%), with 7 days lead time of wastewater. The positive predictive value ranged from 20% (95% CI = 13-30%) on the same day as the case was diagnosed to 50% (95% CI = 40-60%) with 7 days lead time. The specificity of wastewater surveillance to correctly identify dormitories without a case of COVID-19 ranged from 60% (95% CI = 52-67%) on the day of the wastewater sample to 67% (95% CI = 58-74%) with 7 days lead time. The negative predictive value ranged from 99% (95% CI = 95-100%) on the day of the wastewater sample to 84% (95% CI = 77-91%) with 7 days lead time. Wastewater surveillance for SARS-CoV-2 at the building level is highly accurate in determining if residents have a COVID-19 infection. Particular benefit is derived from negative wastewater results that can confirm a building is COVID-19 free.

Indexed as

COVID-19HumansNew YorkRNA, ViralSARS-CoV-2UniversitiesWastewaterWastewater-Based Epidemiological MonitoringRNA, ViralWastewatercollege dormitoriesCOVID-19residence hallsSARS-CoV-2sensitivity analysisspecificity analysiswastewater-based epidemiologywastewater surveillance

Identifiers

PMID35457720
PMCPMC9030442
OpenAlexW4223927791

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.