ArticleFrontiers in microbiology2023
Prediction models for neutralization activity against emerging SARS-CoV-2 variants: A cross-sectional study.
Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Bovine coronavirus and SARS-CoV-2 seroprevalence in livestock: marked host-species differences and insights from the first large-scale neutralization survey.Scientific reports · 2026Article
- Review
- Usual source and better quality of primary care are associated with lower loneliness scores: a cross-sectional study.Family practice · 2024Article
- Humoral response against spike protein enhanced by fifth and sixth COVID-19 mRNA vaccine in the uninfected and infected subjects.Human vaccines & immunotherapeutics · 2023Article
- A SARS-CoV-2: Companion Animal Transmission and Variants Classification.Pathogens (Basel, Switzerland) · 2023Review
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Authors and funding
9 authors.
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Abstract
Objective: Despite extensive vaccination campaigns to combat the coronavirus disease (COVID-19) pandemic, variants of concern, particularly the Omicron variant (B.1.1.529 or BA.1), may escape the antibodies elicited by vaccination against SARS-CoV-2. Therefore, this study aimed to evaluate 50% neutralizing activity (NT Methods: We used a random 10% of samples from 1,277 participants in a population-based cross-sectional survey conducted in January and February 2022 in Yokohama City, the most populous municipality in Japan. We measured NT Results: Among 123 participants aged 20-74, 93% had received two doses of SARS-CoV-2 vaccine. The geometric means (95% confidence intervals) of NT Conclusion: In a general Japanese population with 93% of the population vaccinated with two doses of SARS-CoV-2 vaccine, neutralizing activity against Omicron BA.1 and BA.2 were substantially lower than those against D614G or the Delta variant. The prediction models for Omicron BA.1 and BA.2 showed moderate predictive ability and the model for BA.1 performed well in validation data.
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