This report reveals some key findings that show what strategies are required to help prevent suicide in the face of the ongoing COVID-19 pandemic impacts on mental health.

This paper highlights the value of dynamic modelling methods for managing complexity and uncertainty, and demonstrates their potential use as a decision-support tool for policy makers and program planners for community suicide prevention actions.