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- Title
Estimating long-term vaccine effectiveness against SARS-CoV-2 variants: a model-based approach.
- Authors
Hogan, Alexandra B.; Doohan, Patrick; Wu, Sean L.; Mesa, Daniela Olivera; Toor, Jaspreet; Watson, Oliver J.; Winskill, Peter; Charles, Giovanni; Barnsley, Gregory; Riley, Eleanor M.; Khoury, David S.; Ferguson, Neil M.; Ghani, Azra C.
- Abstract
With the ongoing evolution of the SARS-CoV-2 virus updated vaccines may be needed. We fitted a model linking immunity levels and protection to vaccine effectiveness data from England for three vaccines (Oxford/AstraZeneca AZD1222, Pfizer-BioNTech BNT162b2, Moderna mRNA-1273) and two variants (Delta, Omicron). Our model reproduces the observed sustained protection against hospitalisation and death from the Omicron variant over the first six months following dose 3 with the ancestral vaccines but projects a gradual waning to moderate protection after 1 year. Switching the fourth dose to a variant-matched vaccine against Omicron BA.1/2 is projected to prevent nearly twice as many hospitalisations and deaths over a 1-year period compared to administering the ancestral vaccine. This result is sensitive to the degree to which immunogenicity data can be used to predict vaccine effectiveness and uncertainty regarding the impact that infection-induced immunity (not captured here) may play in modifying future vaccine effectiveness. Evaluation of the effectiveness of COVID-19 vaccines is increasingly challenging due to high levels of exposure to infection and vaccination. Here, the authors use a model-based approach incorporating these factors and estimate that using a variant-matched rather than ancestral booster could prevent nearly twice as many hospitalisations and deaths over one year.
- Subjects
ENGLAND; VACCINE effectiveness; SARS-CoV-2; UNIVERSITY of Oxford; SARS-CoV-2 Omicron variant; VIRAL vaccines; IMMUNE response
- Publication
Nature Communications, 2023, Vol 14, Issue 1, p1
- ISSN
2041-1723
- Publication type
Article
- DOI
10.1038/s41467-023-39736-3