OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
How do diseases spread and how can the analysis of data help us stop them? Quantitative modelling and statistical analysis are essential tools for understanding transmission dynamics and informing evidence-based policies for both human and animal health.
In this lecture, Christl will draw lessons from past epidemics and endemic diseases, across livestock, wildlife, and human populations, to show how mathematical frameworks and statistical inference help unravel complex transmission systems. We’ll look at recent advances that integrate novel data sources, contact network analysis, and rigorous approaches to uncertainty, and discuss current challenges for quantitative epidemiology.
Finally, we’ll highlight opportunities for statisticians and mathematicians to collaborate with other scientists (including clinicians, immunologists, veterinarians) to strengthen strategies for disease control and prevention.
Christl Donnelly CBE is Professor of Applied Statistics, University of Oxford and Professor of Statistical Epidemiology, Imperial College London.
Please email external-relations@maths.ox.ac.uk to register to attend in person.
The lecture will be broadcast on the Oxford Mathematics YouTube Channel on Wednesday 17 December at 5-6 pm and any time after (no need to register for the online version).
The Oxford Mathematics Public Lectures are generously supported by XTX Markets.
