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Mathematical modelling of COVID-19 rates

Mathematical modelling of COVID ratesDr Steven Phipps (1990, Physics), Senior Research Fellow at the Institute for Marine and Antarctic Studies at the University of Tasmania, recently published a paper on the mathematical modelling of COVID infection rates.

In the paper, he uses Monte Carlo methods to estimate a distribution for the true cumulative number of infections (infected and recovered) for 15 countries where reliable data is available, including the UK, USA, Australia, South Korea and France.

Dr Phipps specialises in ice sheet modelling, climate system modelling and palaeoclimatology. His research aims to understand past changes in Antarctica and the climate of the Southern Hemisphere, particularly during the period from the Last Glacial Maximum (around 21,000 years ago) to present. He uses a combination of ice sheet models, climate system models and natural archives, such as ice cores, tree rings and corals.

You can follow Dr Phipps on Twitter and find out more about his work on his website.

Are you involved?
If you are involved in research or frontline work relating to COVID-19 that you would like to bring to the attention of the Univ community worldwide, please email communications@univ.ox.ac.uk.

Published: 18 June 2020

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