This preprint paper, produced by researchers from Theme 3 of the PROTECT study, collates directed acyclic graphs (DAGs) that have been used in the study of the effects of occupation on COVID-19-related health outcomes such as infection, severity, and mortality.

DAGs are tools for representing knowledge and assumptions about a data-generating process, and are used to identify which variables should be adjusted for in a statistical analysis. By collating those that have been produced in relation to occupation and COVID-19 outcomes, the authors aim to identify points of consensus and contention.

Note this article is a preprint and has not yet been formally peer-reviewed.

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