Evidence map›Paper›PMID 38605711›Full record

ArticleFrontiers in microbiology2024

COVID-19 trends at the University of Tennessee: predictive insights from raw sewage SARS-CoV-2 detection and evaluation and PMMoV as an indicator for human waste.

Ye Li, Kurt Ash, Isablla Alamilla, Dominique Joyner, Daniel Edward Williams, Peter J McKay, Brianna Green, Sydney DeBlander, Carman North, Fadime Kara-Murdoch and 2 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Ye LiDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.
Kurt AshDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.
Isablla AlamillaBattelle Memorial Institute, Columbus, OH, United States.
Dominique JoynerDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.
Daniel Edward WilliamsCenter for Environmental Biotechnology, University of Tennessee, Knoxville, TN, United States.
Peter J McKayBattelle Memorial Institute, Columbus, OH, United States.
Brianna GreenDepartment of Microbiology, University of Tennessee, Knoxville, TN, United States.
Sydney DeBlanderCollege of Natural Science, Michigan State University, East Lansing, MI, United States.
Carman NorthStudent Health Center, University of Tennessee, Knoxville, TN, United States.
Fadime Kara-MurdochDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.
Cynthia SwiftDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.
Terry C HazenDepartment of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has become a valuable tool for monitoring the prevalence of SARS-CoV-2 on university campuses. However, concerns about effectiveness of raw sewage as a COVID-19 early warning system still exist, and it's not clear how useful normalization by simultaneous comparison of Pepper Mild Mottle Virus (PMMoV) is in addressing variations resulting from fecal discharge dilution. This study aims to contribute insights into these aspects by conducting an academic-year field trial at the student residences on the University of Tennessee, Knoxville campus, raw sewage. This was done to investigate the correlations between SARS-CoV-2 RNA load, both with and without PMMoV normalization, and various parameters, including active COVID-19 cases, self-isolations, and their combination among all student residents. Significant positive correlations between SARS-CoV-2 RNA load a week prior, during the monitoring week, and the subsequent week with active cases. Despite these correlations, normalization by PMMoV does not enhance these associations. These findings suggest the potential utility of SARS-CoV-2 RNA load as an early warning indicator and provide valuable insights into the application and limitations of WBE for COVID-19 surveillance specifically within the context of raw sewage on university campuses.

Indexed as

COVID-19PMMoVraw wastewaterRT-qPCRSARS-CoV-2sewageWBE

Identifiers

PMID38605711
PMCPMC11007199

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.