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Mathematical modelling has been used to support the response to the COVID-19pandemic in countries around the world including Australia and New Zealand.Both these countries have followed similar pandemic response strategies, usinga combination of strict border measures and community interventions to minimiseinfection rates until high vaccine coverage was achieved. This required adifferent set of modelling tools to those used in countries that experiencedmuch higher levels of prevalence throughout the pandemic.  In this article, we provide an overview of some of the mathematical modellingand data analytics work that has helped to inform the policy response to thepandemic in Australia and New Zealand. This is a reflection on our experiencesworking at the modelling-policy interface and the impact this has had on thepandemic response. We outline the various types of model outputs, fromshort-term forecasts to longer-term scenario models, that have been used indifferent contexts. We discuss issues relating to communication betweenmathematical modellers and stakeholders such as health officials andpolicymakers. We conclude with some future challenges and opportunities in thisarea.

The role of the mathematical sciences in supporting the COVID-19 response in Australia and New Zealand