Dataset Information
Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data.
Ontology highlight
ABSTRACT:
SUBMITTER: Chiavenna C
PROVIDER: S-EPMC12857026 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature
Publications
Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data.
Population health metrics 20251224 1
BACKGROUND: Immunisation is one of the most cost-effective tools for preventing infectious diseases. Yet, vaccine hesitancy, defined as a delayed acceptance or refusal of vaccination despite availability, has grown in recent years, threatening global public health efforts. This study investigates how socio-demographic and behavioural factors relate to willingness to vaccinate children against COVID-19, moving beyond binary pro-/anti-vaccine classifications to explore a more nuanced spectrum of i ...[more]