Evidence map›Paper›PMID 35585202›Full record

ArticleNature communications2022

Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance.

Rebecca J Rockett, Jenny Draper, Mailie Gall, Eby M Sim, Alicia Arnott, Jessica E Agius, Jessica Johnson-Mackinnon, Winkie Fong, Elena Martinez, Alexander P Drew and 15 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
9.8field-weighted citation impact, top 1% of its field
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

63 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
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  4. Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.Molecular biology and evolution · 2025
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  9. Stuck in pandemic uncertainty: a review of the persistent effects of COVID-19 infection in immune-deficient people.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2024
    Review
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  11. Article
  12. Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

25 authors at 4 institutions in 1 country.

Rebecca J Rockett *Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-4329-5198
Jenny Draper *Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Mailie Gall *Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Eby M Sim *Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Alicia ArnottSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Jessica E AgiusSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Jessica Johnson-MackinnonSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Winkie FongSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Elena MartinezSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Alexander P DrewInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.ORCID 0000-0001-5701-0654
Clement LeeInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Christine NgoInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Marc RamspergerInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Andrew N GinnSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Qinning WangSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Michael FennellInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Danny KoInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Linda HuestonInstitute for Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead, NSW, Australia.
Lukas KairaitisRenal Services Blacktown Hospital, Western Sydney Local Health District, Sydney, NSW, Australia.
Edward C HolmesSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-9596-3552
Matthew N O'SullivanSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-8783-5323
Sharon C-A ChenSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Jen KokSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-8796-283X
Dominic E DwyerSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
Vitali SintchenkoSydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia. vitali.sintchenko@sydney.edu.au.ORCID 0000-0002-9261-3650
The University of Sydney · AUWestmead Institute for Medical Research · AUBlacktown & Mount Druitt Hospital · AUWestmead Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data.

Indexed as

CoinfectionCOVID-19GenomicsHumansSARS-CoV-2

Identifiers

PMID35585202
PMCPMC9117272
OpenAlexW4280598099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.