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A log-odds system for waning and boosting of COVID-19 vaccine effectiveness
Tony Blakely; Joshua Szanyi; Tim Wilson; Nick Scott.
Affiliation
  • Tony Blakely; The University of Melbourne
  • Joshua Szanyi; The University of Melbourne
  • Tim Wilson; The University of Melbourne
  • Nick Scott; Burnet Institute
Preprint in English | medRxiv | ID: ppmedrxiv-22272519
ABSTRACT
Immunity to SARS-CoV-2 following vaccination wanes over time in a non-linear fashion, making modelling of likely population impacts of COVID-19 policy options challenging. We observed that it was possible to mathematize non-linear waning of vaccine effectiveness (VE) on the percentage scale as linear waning on the log-odds scale, and developed a random effects logistic regression equation based on UK Health Security Agency data to model VE against Omicron following two and three doses of a COVID-19 vaccine. VE on the odds scale reduced by 47% per month for symptomatic infection after two vaccine doses, lessening to 35% per month for hospitalisation. Waning on the odds scale after triple dose vaccines was 35% per month for symptomatic disease and 19% for hospitalisation. This log-odds system for estimating waning and boosting of COVID-19 VE provides a simple solution that may be used to parametrize SARS-CoV-2 immunity over time parsimoniously in epidemiological models.
License
cc_by_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
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