Evidence map›Paper›PMID 36623667›Full record

ArticleThe Science of the total environment2023

Degradation rates influence the ability of composite samples to represent 24-hourly means of SARS-CoV-2 and other microbiological target measures in wastewater.

Kristina M Babler, Mark E Sharkey, Samantha Abelson, Ayaaz Amirali, Aymara Benitez, Gabriella A Cosculluela, George S Grills, Naresh Kumar, Jennifer Laine, Walter Lamar and 14 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

24 authors.

Kristina M BablerDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
Mark E SharkeyDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Samantha AbelsonDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Ayaaz AmiraliDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
Aymara BenitezMiami-Dade Water and Sewer Department, Miami, FL 33149, USA.
Gabriella A CosculluelaDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
George S GrillsSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Naresh KumarDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Jennifer LaineEnvironmental Health and Safety, University of Miami, Miami, FL 33136, USA.
Walter LamarDivision of Occupational Health, Safety & Compliance, University of Miami Health System, Miami, FL 33136, USA.
Erik D LammDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
Jiangnan LyuDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA.
Philip M McCabeDepartment of Psychology, University of Miami, Coral Gables, FL 33146, USA; Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, USA.
Joshi RaghavenderMiami-Dade Water and Sewer Department, Miami, FL 33149, USA.
Brian D RedingEnvironmental Health and Safety, University of Miami, Miami, FL 33136, USA.
Matthew A RocaDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
Stephan C SchürerSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Institute for Data Science & Computing, University of Miami, Coral Gables, FL, USA.
Mario StevensonDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Angela SzetoDepartment of Psychology, University of Miami, Coral Gables, FL 33146, USA.
John J TallonFacilities and Operations, University of Miami, Coral Gables, FL 33146, USA.
Dusica VidovićDepartment of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Yalda ZarnegarniaDepartment of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Helena M Solo-GabrieleDepartment of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA. Electronic address: hmsolo@miami.edu.

Funding

University of Miami Developmental Center for AIDS Research (D-CFAR)P30AI073961 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Savita Pahwa · 2007 to 2026
$33.8M
Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Stephen D. Nimer · 2019 to 2026
$24.1M
Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
Defining the role of the RNA modification N6-methyladenosine in the hepatitis C virus lifecycleR01AI125416 · NIAID · DUKE UNIVERSITY · PI Stacy Michelle Horner · 2016 to 2026
$5.5M
Supplement for MINI point-of-use deviceU01DA053941 · NIDA · UNIVERSITY OF MIAMI CORAL GABLES · PI MASON, CHRISTOPHER EDWARD, SCHURER, STEPHAN C · 2021 to 2022
$5.2M
Metagenomic profiling of urinary cell-free DNA to monitor urinary tract infection after kidney transplantationR01AI151059 · NIAID · CORNELL UNIVERSITY · PI DADHANIA, DARSHANA, DE VLAMINCK, IWIJN · 2020 to 2024
$3.4M
Mapping the RNA modification N6-methyladenosine during Zika virus infectionR21AI129851 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI HORNER, STACY MICHELLE, MASON, CHRISTOPHER EDWARD · 2017 to 2018
$469k
NCATS NIH HHS UL1 TR000460NCI NIH HHS P30 CA240139NIAID NIH HHS P30 AI073961NIAID NIH HHS R01 AI125416NIAID NIH HHS R01 AI151059NIAID NIH HHS R21 AI129851NIDA NIH HHS U01 DA053941
6 · The paper itself

Abstract

The utility of using severe-acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA for assessing the prevalence of COVID-19 within communities begins with the design of the sample collection program. The objective of this study was to assess the utility of 24-hour composites as representative samples for measuring multiple microbiological targets in wastewater, and whether normalization of SARS-CoV-2 by endogenous targets can be used to decrease hour to hour variability at different watershed scales. Two sets of experiments were conducted, in tandem with the same wastewater, with samples collected at the building, cluster, and community sewershed scales. The first set of experiments focused on evaluating degradation of microbiological targets: SARS-CoV-2, Simian Immunodeficiency Virus (SIV) - a surrogate spiked into the wastewater, plus human waste indicators of Pepper Mild Mottle Virus (PMMoV), Beta-2 microglobulin (B2M), and fecal coliform bacteria (FC). The second focused on the variability of these targets from samples, collected each hour on the hour. Results show that SARS-CoV-2, PMMoV, and B2M were relatively stable, with minimal degradation over 24-h. SIV, which was spiked-in prior to analysis, degraded significantly and FC increased significantly over the course of 24 h, emphasizing the possibility for decay and growth within wastewater. Hour-to-hour variability of the source wastewater was large between each hour of sampling relative to the variability of the SARS-CoV-2 levels calculated between sewershed scales; thus, differences in SARS-CoV-2 hourly variability were not statistically significant between sewershed scales. Results further provided that the quantified representativeness of 24-h composite samples (i.e., statistical equivalency compared against hourly collected grabs) was dependent upon the molecular target measured. Overall, improvements made by normalization were minimal within this study. Degradation and multiplication for other targets should be evaluated when deciding upon whether to collect composite or grab samples in future studies.

Indexed as

COVID-19SARS-CoV-2AnimalsFecesHumansTobamovirusWastewaterWastewaterCompositeDegradationGrabHour-to-hour variabilityNormalizationSARS-CoV-2

Identifiers

PMID36623667
PMCPMC9817413

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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.