Evidence map›Paper›PMID 35016937›Full record

ArticleThe Science of the total environment2022

Longitudinal monitoring of SARS-CoV-2 in wastewater using viral genetic markers and the estimation of unconfirmed COVID-19 cases.

Lin Li, Lauren Mazurowski, Aimee Dewan, Madeline Carine, Laura Haak, Tatiana C Guarin, Niloufar Gharoon Dastjerdi, Daniel Gerrity, Casey Mentzer, Krishna R Pagilla

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 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

10 authors.

Lin LiDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Lauren MazurowskiDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Aimee DewanDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Madeline CarineDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Laura HaakDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Tatiana C GuarinDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Niloufar Gharoon DastjerdiDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.
Daniel GerritySouthern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.
Casey MentzerTruckee Meadows Water Reclamation Facility, Sparks, NV 89502, USA.
Krishna R PagillaDepartment of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA. Electronic address: pagilla@unr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, wastewater-based surveillance was carried out to establish the correlation between SARS-CoV-2 viral RNA concentrations in wastewater and the incidence of corona virus disease 2019 (COVID-19) from clinical testing. The influent wastewater of three major water reclamation facilities (WRFs) in Northern Nevada, serving a population of 390,750, was monitored for SARS-CoV-2 viral RNA gene markers, N1 and N2, from June 2020 through September 2021. A total of 614 samples were collected and analyzed. The SARS-CoV-2 concentrations in wastewater were observed to peak twice during the study period. A moderate correlation trend between coronavirus disease 2019 (COVID-19) incidence data from clinical testing and SARS-CoV-2 viral RNA concentrations in wastewater was observed (Spearman r = 0.533). This correlation improved when using weekly average SARS-CoV-2 marker concentrations of wastewater and clinical case data (Spearman r = 0.790), presumably by mitigating the inherent variability of the environmental dataset and the effects of clinical testing artifacts (e.g., reporting lags). The research also demonstrated the value of wastewater-based surveillance as an early warning signal for early detection of trends in COVID-19 incidence. This was accomplished by identifying that the reported clinical cases had a stronger correlation to SARS-CoV-2 wastewater monitoring data when they were estimated to lag 7-days behind the wastewater data. The results aided local decision makers in developing strategies to manage COVID-19 in the region and provide a framework for how wastewater-based surveillance can be applied across localities to enhance the public health monitoring of the ongoing pandemic.

Indexed as

COVID-19WastewaterGenetic MarkersHumansRNA, ViralSARS-CoV-2Genetic MarkersRNA, ViralWastewaterCOVID-19Early warningLong-term monitoringSARS-CoV-2Wastewater

Identifiers

PMID35016937
PMCPMC8743272

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.