Unknown

Dataset Information

0

A log-odds system for waning and boosting of COVID-19 vaccine effectiveness.


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.

SUBMITTER: Szanyi J 

PROVIDER: S-EPMC9119963 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

A log-odds system for waning and boosting of COVID-19 vaccine effectiveness.

Szanyi Joshua J   Wilson Tim T   Scott Nick N   Blakely Tony T  

Vaccine 20220520 28


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  ...[more]

Similar Datasets

| S-EPMC9650565 | biostudies-literature
| S-EPMC9184525 | biostudies-literature
| S-EPMC8938298 | biostudies-literature
| S-EPMC9132433 | biostudies-literature
| S-EPMC7182205 | biostudies-literature
| S-EPMC4318935 | biostudies-literature
| S-EPMC8993156 | biostudies-literature
| S-EPMC9659710 | biostudies-literature