Mathematical modelling to support New Zealand’s COVID-19 response
In this talk, Professor Michael Plank will describe some of the ways in which mathematical modelling contributed to the COVID-19 pandemic response in New Zealand. The country adopted an elimination strategy at the beginning of the pandemic and used a combination of public health measures and border restrictions to keep incidence of COVID-19 low until high vaccination rates were achieved. The low or zero prevalence for the first 18 months of the pandemic called for a different set of modelling tools compared to high-prevalence settings. It also generated some unique data that can give valuable insights into epidemiological characteristics and dynamics. As well as describing some of the modelling approaches used, Professor Plank will reflect on the value that modelling can add to decision making and some of the challenges and opportunities in working with stakeholders in government and public health.
Speaker
Professor Michael Plank, University of Canterbury, New Zealand
Event notices
- Please note that you can join this event in person or you can join the session remotely
- Please note that the recording link will be listed on this page when available
Admission
Contact
