Linking prediction models to government ordinances to support hospital operations during the COVID-19 pandemic.

Objectives: We describe a hospital's implementation of predictive models to optimise emergency response to the COVID-19 pandemic.

Methods: We were tasked to construct and evaluate COVID-19 driven predictive models to identify possible planning and resource utilisation scenarios. We used system dynamics to derive a series of chain susceptible, infected and recovered (SIR) models.