A systematic approach to public health - Novel application of the human factors analysis and classification system to public health and COVID-19

In this article, we argue for a novel adaptation of the Human Factors Analysis and Classification System (HFACS) to proactive incidence prevention in the public health and in particular, during and in response to COVID-19. HFACS is a framework of causal categories of human errors typically applied for systematic retrospective incident analysis in high-risk domains. By leveraging this approach proactively, appropriate, and targeted measures can be quickly identified and established to mitigate potential errors at different levels within the public health system (from tertiary and secondary healthcare workers to primary public health officials, regulators, and policymakers).

Automated summary

The article proposes a novel adaptation of the Human Factors Analysis and Classification System (HFACS) for proactive incident prevention in public health during the COVID-19 pandemic. By leveraging this approach, targeted measures can be quickly established to mitigate potential errors at different levels within the public health system.