Cambridge mathematicians have developed a set of resources for students and teachers that will help them understand how maths can help tackle infectious diseases.
The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.
Mathematical model could help in physical therapy and shed light on learning more generally.
When the COVID-19 pandemic emerged in 2020, the R rate became well-known shorthand for the reproduction of the disease. Yet a new study suggests it’s time for ‘a farewell to R’ in favour of a different approach based on the growth rate of infection rather than contagiousness.
Researchers have developed a mathematical model that can predict the optimum exercise regime for building muscle.
Who made more accurate predictions about the course of the COVID-19 pandemic – experts or the public? A study from the University of Cambridge has found that experts such as epidemiologists and statisticians made far more accurate predictions than the public, but both groups substantially underestimated the true extent of the pandemic.
A new national consortium, co-led by the University of Cambridge, will bring together mathematical modellers to produce faster, more rigorous predictions for the COVID-19 pandemic and advise UK government bodies.
Dr Tobias Baldauf likes nothing better than seeing an equation ‘cross reality’. His work is helping us to answer some of the remaining questions about the Universe.
Professor Julia Gog is a mathematician who specialises in modelling the spread of infectious diseases, particularly pandemic influenza. For months, she and the other members of her research group in the Department of Applied Mathematics and Theoretical Physics have been modelling and mapping the spread of coronavirus and COVID-19.
Dr Natasha Morrison is a Research Fellow in mathematics at Sidney Sussex College and a member of the Department of Pure Mathematics and Mathematical Statistics. She completed her PhD at Oxford and her undergraduate studies at Durham. Her research focuses on a branch of mathematics which models the behaviours of networks, from how diseases spread to how viral stories circulate on social media.
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