OR63: Covid Modelling

This stream focuses on the application of mathematical modelling, analytics and operational research to inform epidemic mitigation efforts.

OR approaches have been used extensively to address the unprecedented challenges presented by the COVID-19 pandemic. Beyond traditional epidemic models, decision support for COVID-19 mitigation has frequently relied on data analytics, stochastic modelling, demand forecasting, etc.

In this context, COVID-19 has highlighted the value and need for new and better models to support our health services. Key areas of application include epidemiological prediction, demand and capacity modelling, social and behavioural analysis, vaccine rollout and dealing with the suppressed demand caused by the pandemic.

We're now looking for OR professionals, data scientists, professors, researchers, analysts, engineers, etc., to present at this event. Submit your 300-word presentation summary on COVID-19 modelling by the now extended deadline of the 25th of June to join our expert OR63 speakers!

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Contributions from academics, the industry or the public sector are welcome!

We are keen to hear about recent research and application both in terms of examples of effective recent work and implementation as well as ideas to drive future research and innovation in this prescient interdisciplinary field.

This session will aim to include a range of presentations, a keynote address, as well as an interactive panel discussion.

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Meet the stream organisers

If you have any questions, please contact one of the stream organisers below using their details listed. 

Edilson Fernandes de Arruda, 
Southampton Business School
E.F.Arruda@southampton.ac.uk

Martin Pitt, 
University of Exeter
M.Pitt@exeter.ac.uk