Evidence map›Paper›PMID 35918060›Full record

ArticleWater environment research : a research publication of the Water Environment Federation2022

Year-long wastewater monitoring for SARS-CoV-2 signals in combined and separate sanitary sewers.

Nicole L Fahrenfeld, William R Morales Medina, Stephanie D'Elia, Aishwarya S Deshpande, Genevieve Ehasz

Abstract read
In one paragraph

Article in Water environment research : a research publication of the Water Environment Federation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Year-long wastewater monitoring for SARS-CoV-2 signals in combined and separate sanitary sewers.Water environment research : a research publication of the Water Environment Federation · 2022
    Article
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

5 authors.

Nicole L FahrenfeldDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0003-2690-0122
William R Morales MedinaDepartment of Microbiology and Molecular Genetics, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0003-1632-8804
Stephanie D'EliaDepartment of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0002-7684-5726
Aishwarya S DeshpandeDepartment of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID https://orcid.org/0000-0002-5386-2857
Genevieve EhaszDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.

Funding

National Science Foundation 1510461National Science Foundation 1846815New Jersey Health FoundationPassaic Valley Sewerage CommissionRutgers Center for COVID-19 Response and Pandemic Preparedness, Rutgers UniversityRutgers School of Graduate Studies Acceleration and Completion Fellowship
6 · The paper itself

Abstract

COVID-19 wastewater-based epidemiology has been performed in catchments of various sizes and sewer types with many short-term studies available and multi-seasonal studies emerging. The objective of this study was to compare weekly observations of SARS-CoV-2 genes in municipal wastewater across multiple seasons for different systems as a factor of sewer type (combined, separate sanitary) and system size. Sampling occurred following the first wave of SARS-CoV-2 cases in the study region (June 2020) and continued through the third wave (May 2021), the period during which clinical testing was widely available and different variants dominated clinical cases. The strongest correlations were observed between wastewater N1 concentrations and the cumulative clinical cases reported in the 2 weeks prior to wastewater sampling, followed by the week prior, new cases, and the week after wastewater sampling. Sewer type and size did not necessarily explain the strength of the correlations, indicating that other non-sewer factors may be impacting the observations. In-system sampling results for the largest system sampled are presented for 1 month. Removing wet weather days from the data sets improved even the flow-normalized correlations for the systems, potentially indicating that interpreting results during wet weather events may be more complicated than simply accounting for dilution. PRACTITIONER POINTS: SARS-CoV-2 in wastewater correlated best with total clinical cases reported in 2 weeks before wastewater sampling at the utility level. Study performed when clinical testing was widespread during the year after the first COVID-19 wave in the region. Sewer type and size did not necessarily explain correlation strength between clinical cases and wastewater-based epidemiology results. Removing wet weather days improved correlations for 3/4 utilities studied, including both separate sanitary and combined sewers.

Indexed as

COVID-19WastewaterHumansSARS-CoV-2SewageWeatherSewageWastewatercombined sewerCOVID-19PMMoVsewage surveillancewastewater-based epidemiology

Identifiers

PMID35918060
PMCPMC9350404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.