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Rapid emergence of SARS-CoV-2 Omicron variant is associated with an infection advantage over Delta in vaccinated persons.
Chaguza, Chrispin; Coppi, Andreas; Earnest, Rebecca; Ferguson, David; Kerantzas, Nicholas; Warner, Frederick; Young, H Patrick; Breban, Mallery I; Billig, Kendall; Koch, Robert Tobias; Pham, Kien; Kalinich, Chaney C; Ott, Isabel M; Fauver, Joseph R; Hahn, Anne M; Tikhonova, Irina R; Castaldi, Christopher; De Kumar, Bony; Pettker, Christian M; Warren, Joshua L; Weinberger, Daniel M; Landry, Marie L; Peaper, David R; Schulz, Wade; Vogels, Chantal B F; Grubaugh, Nathan D.
  • Chaguza C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Coppi A; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Earnest R; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
  • Ferguson D; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Kerantzas N; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
  • Warner F; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
  • Young HP; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
  • Breban MI; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
  • Billig K; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Koch RT; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Pham K; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Kalinich CC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Ott IM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Fauver JR; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Hahn AM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Tikhonova IR; College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
  • Castaldi C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • De Kumar B; Yale Center for Genome Analysis, Yale University, New Haven, CT, USA.
  • Pettker CM; Yale Center for Genome Analysis, Yale University, New Haven, CT, USA.
  • Warren JL; Yale Center for Genome Analysis, Yale University, New Haven, CT, USA.
  • Weinberger DM; Quality and Safety, Yale New Haven Health, New Haven, CT, USA.
  • Landry ML; Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.
  • Peaper DR; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
  • Schulz W; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Vogels CBF; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Grubaugh ND; Section of Infectious Diseases, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Med (N Y) ; 3(5): 325-334.e4, 2022 05 13.
Article in English | MEDLINE | ID: covidwho-1773641
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).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Med (N Y) Year: 2022 Document Type: Article Affiliation country: J.medj.2022.03.010

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Med (N Y) Year: 2022 Document Type: Article Affiliation country: J.medj.2022.03.010