Emergence and dissemination of SARS-CoV-2 XBB.1.5 in New York
- Description
This study compared SARS-CoV-2 sequences that were collected from infected patients (n=2,397) who were seen at NYU Langone Health facilities and globally (n=24,060 sequences in GISAID) between August 1, 2022, and February 4, 2023 to understand the proliferation of Omicron strain XBB.1.5. Active SARS-CoV-2 infection was confirmed with positive real-time (RT)-qPCR testing. To assess the association between patients' vaccination statuses, infection statuses, and detected strains, patients were categorized into the following groups:
- Unvaccinated: Individuals who had not received a COVID-19 vaccine at the time of SARS-CoV-2 infection, and reported no prior SARS-CoV-2 infections.
- Partially vaccinated: Individuals who contracted SARS-CoV-2 infection between the first vaccine shot and less than 14 days after completing their primary vaccination series.
- Primary series: Individuals who completed their primary vaccination series at least 14 days ago. (I.e., after the second dose of BNT162b2 (Pfizer/BioNTech) or mRNA-1273 (Moderna) vaccines, or the single-dose COVID-19 Janssen vaccine.)
- Boosted: Individuals who had received at least one additional COVID-19 shot (any vaccine) after completing the primary vaccination series.
- Re-infected: Individuals who were infected with SARS-CoV-2 infection after having had a previous SARS-CoV-2 infection, regardless of their vaccination status and variant. This group included patients with multiple infections.
The viral genomes collected from patients at NYU Langone were also compared with 'background' SARS-CoV-2 sequences available in GISAID to estimate and compare the introduction and dispersal dynamics of the XBB.1.5 variant.
- Timeframe
- 2022 - 2023
- Geographic Coverage
-
New York (State) - New York City
Access
- Restrictions
-
Free to All
- Instructions
- De-identified data, shapefiles, and code generated through this study are available in GitHub. Metadata, including identifiers, for the 'background' GISAID sequences utilized in study analyses can also be found in the GitHub repository.
- Grant Support
-
G098321N/Research Foundation - FlandersF.4515.22/Fonds National de la Recherche Scientifique874850/European Union Horizon 2020
- Related Datasets