Risk factor identification is crucial to the primary prevention of disease and injury. Central to this endeavour is the utilisation of large-scale, deeply-phenotyped cohort studies derived from either traditional field work; individual participant meta-analysis of multiple cohorts (data pooling); or linkage of electronic
health registries (data informatics). Having hitherto almost exclusively examined risk factors for non-communicable
disease – vascular disease, selected cancers, neurodegenerative disorders – in this presentation I will describe how we pivoted
our attention during this pandemic to explore the role of socioeconomic, lifestyle, and biological characteristics in the occurrence of COVID-19. I will also discuss our smaller body of work on psychological predictors of vaccine hesitancy. Lastly, I will briefly reflect on the impact of the industrial-scale production of papers in epidemiology and other fields during the COVID-19 crisis.
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