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</html><thumbnail_url>https://www.uni.lu/wp-content/uploads/sites/16/2026/03/03112325/FHSE_SM-Profile_1600x1600px-scaled.jpg</thumbnail_url><thumbnail_width>2560</thumbnail_width><thumbnail_height>2560</thumbnail_height><description>Risk factor identification is crucial to the primary prevention of disease and injury.&#xA0; 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).&#xA0; Having hitherto almost exclusively examined risk factors for non-communicable disease &#x2013; vascular disease, selected cancers, neurodegenerative disorders &#x2013; 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.&#xA0; I will also discuss our smaller body of work on psychological predictors of vaccine hesitancy.&#xA0; 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.</description></oembed>
