Modelling spread of COVID-19

Host Faculty: Engineering
General Subject Area: Applied Mathematics
Project Level: PhD
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Mathematical models have played a key part in New Zealand's response to COVID-19. This project will use a combination of mathematical modelling and data science to investigate the transmission characteristics of the virus in New Zealand. Key questions  include: what is the potential for contact tracing to control the spread of COVID-19; what characteristics of digital tracing systems make them more effective; how could geographic and demographic differences in uptake of contact tracing systems affect epidemic spread; how can we effectively control COVID-19 in high-risk groups?


Supervisor: Michael Plank

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Applied mathematical modelling