Evidence map›Paper›PMID 38565591›Full record

ArticleScientific reports2024

Detection of SARS-COV-2 variants and their proportions in wastewater samples using next-generation sequencing in Finland.

Anssi Lipponen, Aleksi Kolehmainen, Sami Oikarinen, Anna-Maria Hokajärvi, Kirsi-Maarit Lehto, Annamari Heikinheimo, Jani Halkilahti, Aapo Juutinen, Oskari Luomala, Teemu Smura and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  8. 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

15 authors.

Anssi LipponenExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland. anssi.lipponen@thl.fi.
Aleksi KolehmainenExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
Sami OikarinenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Anna-Maria HokajärviExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
Kirsi-Maarit LehtoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Annamari HeikinheimoDepartment of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Jani HalkilahtiExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Aapo JuutinenInfectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Oskari LuomalaInfectious Disease Control and Vaccinations Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Teemu SmuraDepartment of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Kirsi LiitsolaExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Soile BlomqvistExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Carita Savolainen-KopraExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Tarja PitkänenExpert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.
WastPan Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants may have different characteristics, e.g., in transmission, mortality, and the effectiveness of vaccines, indicating the importance of variant detection at the population level. Wastewater-based surveillance of SARS-CoV-2 RNA fragments has been shown to be an effective way to monitor the COVID-19 pandemic at the population level. Wastewater is a complex sample matrix affected by environmental factors and PCR inhibitors, causing insufficient coverage in sequencing, for example. Subsequently, results where part of the genome does not have sufficient coverage are not uncommon. To identify variants and their proportions in wastewater over time, we utilized next-generation sequencing with the ARTIC Network's primer set and bioinformatics pipeline to evaluate the presence of variants in partial genome data. Based on the wastewater data from November 2021 to February 2022, the Delta variant was dominant until mid-December in Helsinki, Finland's capital, and thereafter in late December 2022 Omicron became the most common variant. At the same time, the Omicron variant of SARS-CoV-2 outcompeted the previous Delta variant in Finland in new COVID-19 cases. The SARS-CoV-2 variant findings from wastewater are in agreement with the variant information obtained from the patient samples when visually comparing trends in the sewerage network area. This indicates that the sequencing of wastewater is an effective way to monitor temporal and spatial trends of SARS-CoV-2 variants at the population level.

Indexed as

COVID-19SARS-CoV-2FinlandHigh-Throughput Nucleotide SequencingHumansPandemicsRNA, ViralWastewaterRNA, ViralWastewater

Identifiers

PMID38565591
PMCPMC10987589

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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.