Evidence map›Paper›PMID 34849439›Full record

ReviewCurrent opinion in environmental science & health2021

Looking for a needle in a haystack. SARS-CoV-2 variant characterization in sewage.

Marta Itarte, Sílvia Bofill-Mas, Sandra Martínez-Puchol, Helena Torrell, Adrià Ceretó, Marina Carrasco, Eva Forés, Núria Canela, Rosina Girones, Marta Rusiñol

Abstract readReview
In one paragraph

Review in Current opinion in environmental science & health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Real-time, multi-pathogen wastewater genomic surveillance with Freyja 2.medRxiv : the preprint server for health sciences · 2025
    Article
  3. Article
  4. Review
  5. 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

10 authors.

Marta ItarteLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Sílvia Bofill-MasLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Sandra Martínez-PucholLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Helena TorrellEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain.
Adrià CeretóEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain.
Marina CarrascoLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Eva ForésLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Núria CanelaEurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, Unique Scientific and Technical Infrastructures (ICTS), Reus, Spain.
Rosina GironesLaboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Department at the University of Barcelona (UB), Barcelona, Catalonia, Spain.
Marta RusiñolInstitute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 variants are emerging worldwide, and monitoring them is key in providing early warnings. Here, we summarize the different analytical approaches currently used to study the dissemination of SARS-CoV-2 variants in wastewater and discuss their advantages and disadvantages. We also provide preliminary results of two sensitive and cost-effective approaches: variant-specific reverse transcription-nested PCR assays and a nonvariant-specific amplicon deep sequencing strategy that targets three key regions of the viral spike protein. Next-generation sequencing approaches enable the simultaneous detection of signature mutations of different variants of concern in a single assay and may be the best option to explore the real picture at a particular time. Targeted PCR approaches focused on specific signature mutations will need continuous updating but are sensitive and cost-effective.

Indexed as

Next-generation sequencing (NGS)SARS-CoV-2Signature mutationsVariants of concern (VOCs)Variants of interest (VOIs)Wastewater-based epidemiology (WBE)

Identifiers

PMID34849439
PMCPMC8621506

What OpenQuestion holds

Textmetadata
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.