Mathematical Modelling for the COVID-19 Pandemic

The School of Data Science, Fudan University invite Exeter staff and students to join their seminars.

An Institute for Data Science and Artificial Intelligence seminar
Date18 June 2020
Time7:00 to 8:00
PlaceZoom ID: 928 140 75192 (Password: 807332)

Professor Alex Cook from the National University of Singapore discusses mathematical modelling and its role in the COVID-19 pandemic.

Alex R Cook is currently an Associate Professor at the Centre for Infectious Disease Epidemiology and Research (CIDER), Saw Swee Hock School of Public Health, National University of Singapore (NUS). He has been with NUS for 8 years. Alex obtained his PhD in Statistics at Heriot-Watt University, UK, looking at statistics and modelling of infectious diseases. Prior to joining NUS, Alex did his postdoc in Cambridge and Heriot-Watt Universities. His responsibilities in NUS include research, teaching and service. His expertise involves statistics, modelling and public health.


Abstract

Mathematical Modelling has emerged as a key discipline in the COVID-19 outbreak so far.  In the pursuit of herd immunity to deciding when and how to lockdown and relax lockdown, modelling is providing policy makers with supporting evidence, but its growing prominence and role in policy making may have many wondering, is mathematics leading our response to the outbreak astray? In this talk I will briefly introduce mathematical modelling, some of the key concepts, before describing some of the ways in which we are using modelling to inform Singapore's response to the pandemic.

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