Evidence map›Paper›PMID 35399324›Full record

ArticleMed (New York, N.Y.)2022

Rapid emergence of SARS-CoV-2 Omicron variant is associated with an infection advantage over Delta in vaccinated persons.

Chrispin Chaguza, Andreas Coppi, Rebecca Earnest, David Ferguson, Nicholas Kerantzas, Frederick Warner, H Patrick Young, Mallery I Breban, Kendall Billig, Robert Tobias Koch and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Med (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
7.9field-weighted citation impact, top 2% 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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. SARS-CoV-2 and Environmental Changes: The Perfect Storm.Current issues in molecular biology · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 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

26 authors at 2 institutions in 1 country.

Chrispin ChaguzaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Andreas CoppiDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Rebecca EarnestDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
David FergusonCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
Nicholas KerantzasCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
Frederick WarnerCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
H Patrick YoungCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
Mallery I BrebanDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Kendall BilligDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Robert Tobias KochDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Kien PhamDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Chaney C KalinichDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Isabel M OttDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Joseph R FauverDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Anne M HahnDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Irina R TikhonovaYale Center for Genome Analysis, Yale University, New Haven, CT, USA.
Christopher CastaldiYale Center for Genome Analysis, Yale University, New Haven, CT, USA.
Bony De KumarYale Center for Genome Analysis, Yale University, New Haven, CT, USA.
Christian M PettkerQuality and Safety, Yale New Haven Health, New Haven, CT, USA.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Marie L LandryDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
David R PeaperDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
Wade SchulzCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
Chantal B F VogelsDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Nathan D GrubaughDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Yale University · USYale New Haven Hospital · US

Funding

NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
CDC HHSNCATS NIH HHS TL1 TR001864NHLBI NIH HHS T35 HL007649
6 · The paper itself

Abstract

Background: The SARS-CoV-2 Omicron variant became a global concern due to its rapid spread and displacement of the dominant Delta variant. We hypothesized that part of Omicron's rapid rise was based on its increased ability to cause infections in persons that are vaccinated compared to Delta. Methods: We analyzed nasal swab PCR tests for samples collected between December 12 and 16, 2021, in Connecticut when the proportion of Delta and Omicron variants was relatively equal. We used the spike gene target failure (SGTF) to classify probable Delta and Omicron infections. We fitted an exponential curve to the estimated infections to determine the doubling times for each variant. We compared the test positivity rates for each variant by vaccination status, number of doses, and vaccine manufacturer. Generalized linear models were used to assess factors associated with odds of infection with each variant among persons testing positive for SARS-CoV-2. Findings: For infections with high virus copies (Ct < 30) among vaccinated persons, we found higher odds that they were infected with Omicron compared to Delta, and that the odds increased with increased number of vaccine doses. Compared to unvaccinated persons, we found significant reduction in Delta positivity rates after two (43.4%-49.1%) and three vaccine doses (81.1%), while we only found a significant reduction in Omicron positivity rates after three doses (62.3%). Conclusion: The rapid rise in Omicron infections was likely driven by Omicron's escape from vaccine-induced immunity. Funding: This work was supported by the Centers for Disease Control and Prevention (CDC).

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesHospitalizationHumansCOVID-19 VaccinesCOVID-19 vaccinesDeltaepidemiologygenomic surveillanceOmicronSARS-CoV-2

Identifiers

PMID35399324
PMCPMC8983481
OpenAlexW4226303462

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.