17 September 2021

Part of the Fry Conference Series

School of Mathematics, University of Bristol, UK

Statistics and Modelling in Pandemic Response

Thomas House, Department of Mathematics, The University of Manchester, UK

COVID-19 has seen massive public interest in the numbers behind the pandemic. Analysis and dissemination of these has involved a lot of cross-talk between mathematical statistics, biostatistics and social statistics, as well as close collaboration with policymakers, medics and lab scientists. Despite heated public debate, our response to COVID has arguably been one of tremendous scientific and societal cooperation.

This talk will show some ways in which mathematical statistics – AKA being the pedant in the (Zoom) room – has made its contribution to this shared effort. This will include: analysis of household data; real-time estimation of incidence; understanding symptom co-occurrence and other topics.

About the Speaker: Thomas House is a Professor of Mathematical Sciences at the University of Manchester. Since doctoral work on seven-dimensional compact manifolds of exceptional holonomy, he has worked on mathematical epidemiology and data science. His main interests include the role of population structure on infectious diseases, particularly inference for household data, as well as development and application of methods from network theory, data science and statistics to solve epidemiological problems

---

For more information please email the Heilbronn events team at  heilbronn-coordinator@bristol.ac.uk

Information on past Fry Conference Series is available here

Join the Heilbronn Event mailing list to keep up to date with our upcoming events