New research from UNC Charlotte’s Center for Computational Intelligence to Predict Health and Environmental Risks has found that the two most prevalent strains of the virus that cause COVID-19, SARS-CoV-2 variants BA.2.86 and JN.1, are not significantly better than their predecessor Omicron at evading immune responses and causing infections despite having a high number of mutations compared to previous variants.
Tag: Variant
Viral evolution expert available for comment on new BA.2.86 COVID variant
URBANA, Ill. — Last week’s classification of BA.2.86 as a COVID “variant under monitoring” by the World Health Organization raises many epidemiological and public health questions. Among the unknowns is how the virus evolved to acquire 36 to 38 mutations…
NIH-funded team develops method to identify future SARS-CoV-2 mutations that could affect rapid antigen test performance
A research team funded by the National Institutes of Health has shown that commercially available rapid antigen tests can detect past and present variants of concern and has identified potential mutations that may impact test performance in the future.