Evidence map›Paper›PMID 40808831›Full record

ArticleACS ES&T water2025

Optimization of the Primary Sludge Processing Method for Wastewater Genomic Surveillance of SARS-CoV‑2.

Md Pervez Kabir, Julio Plaza-Diaz, Élisabeth Mercier, Patrick M D'Aoust, Lawrence Goodridge, Opeyemi U Lawal, Shen Wan, Nada Hegazy, Tram Nguyen, Chandler Wong and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS ES&T water, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Md Pervez KabirDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.ORCID https://orcid.org/0000-0002-0079-167X
Julio Plaza-DiazChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada.ORCID https://orcid.org/0000-0002-5171-9408
Élisabeth MercierDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Patrick M D'AoustDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Lawrence GoodridgeCanadian Research Institute for Food Safety, Department of Food Science, University of Guelph, Guelph, Ontario N1G 2W1, Canada.
Opeyemi U LawalCanadian Research Institute for Food Safety, Department of Food Science, University of Guelph, Guelph, Ontario N1G 2W1, Canada.ORCID https://orcid.org/0000-0003-2352-2832
Shen WanDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Nada HegazyDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.ORCID https://orcid.org/0000-0003-4277-076X
Tram NguyenDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Chandler WongDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Felix AddoDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Elizabeth RenoufDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.
Tyson E GraberChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada.
Robert DelatollaDepartment of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 1A2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater genomic surveillance (WWGS) of SARS-CoV-2 is typically performed using influent wastewater, but the approach is challenging due to degradation as well as low target concentrations in wastewater. This could be alleviated by utilizing primary sludge; however, this matrix is prone to sequencing library failures. Our study focuses on developing a robust primary sludge-based SARS-CoV-2 genome sequencing method. The study was conducted using 30 parallel influent wastewater and primary sludge samples collected during three different time periods, under three clinically predominant SARS-CoV-2 Omicron lineages in Ottawa, Canada. Results showed that our approach consistently recovered near-complete (≥90%) SARS-CoV-2 genomes from both influent wastewater and primary sludge samples. Prevalent lineage and single nucleotide variant (SNV) profiles were identical (

Indexed as

genome sequencinglineage prevalencerare SNVssingle nucleotide variantswastewater and environmental surveillance

Identifiers

PMID40808831
PMCPMC12340953

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.