Estimating long-term vaccine effectiveness against SARS-CoV-2 variants: a model-based approach

Author:

Hogan Alexandra B.,Doohan PatrickORCID,Wu Sean L.,Mesa Daniela OliveraORCID,Toor JaspreetORCID,Watson Oliver J.ORCID,Winskill PeterORCID,Charles Giovanni,Barnsley GregoryORCID,Riley Eleanor M.,Khoury David S.ORCID,Ferguson Neil M.ORCID,Ghani Azra C.ORCID

Abstract

AbstractWith 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.

Funder

World Health Organization

Imperial College London

RCUK | Medical Research Council

Wellcome Trust

DH | National Institute for Health Research

Schmidt Science Fellow (Oliver Watson) Community Jameel (philanthropic funding to Neil Ferguson and Patrick Doohan) Australian National Health and Medical Research Council Investigator Grant

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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