AI Article Synopsis
- - The Bronx was a major hotspot for COVID-19 in the U.S., and researchers studied 104 SARS-CoV-2 genomes from March to October 2020 to track how the virus evolved there.
- - The genomic diversity of the virus in the Bronx reflected trends seen in New York City and the state, but researchers noted changes in mutation prevalence over time.
- - By analyzing the genomic data, they were able to differentiate between reinfections and ongoing infections in two children, suggesting that targeted genomic monitoring can aid in COVID-19 management.
Article Abstract
The Bronx was an early epicenter of the COVID-19 pandemic in the USA. We conducted temporal genomic surveillance of 104 SARS-CoV-2 genomes across the Bronx from March October 2020. Although the local structure of SARS-CoV-2 lineages mirrored those of New York City and New York State, temporal sampling revealed a dynamic and changing landscape of SARS-CoV-2 genomic diversity. Mapping the trajectories of mutations, we found that while some became 'endemic' to the Bronx, other, novel mutations rose in prevalence in the late summer/early fall. Geographically resolved genomes enabled us to distinguish between cases of reinfection and persistent infection in two pediatric patients. We propose that limited, targeted, temporal genomic surveillance has clinical and epidemiological utility in managing the ongoing COVID pandemic.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9528964 | PMC |
| http://dx.doi.org/10.1101/mcs.a006211 | DOI Listing |
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