The world is gripped with the COVID-19 pandemic. In societal debates on how to curb the pandemic, epidemiological concepts like the reproduction number, superspreader events and critical vaccination coverage are widely used. But what do they mean? What is the role of epidemiology and mathematical modeling in the COVID-19 era? Why have some countries successfully prevented the epidemic and have others failed?
In tonight’s webinar, epidemiologists, virologists and mathematicians discuss the role of infectious disease epidemiology during the COVID pandemic. In talks for the general audience, they will discuss how to predict the future of epidemics, how (genetic) epidemiology can identify the emergence of novel threats and how mathematical modeling can support vaccination strategies, guide public health measures and manage expectations.
Programme
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19:00 h |
Cornelia van Duijn, Professor of epidemiology, Big Data Institute and Nuffield Department of Population Health, Oxford University, United Kingdom and Teun Bousema, Professor in epidemiology of tropical infectious diseases, Radboud University Medical Center – Welcome, introduction and lecture - Not the first pandemic |
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19:10 h |
Sake de Vlas, Professor of Infectious disease modelling, Erasmus Medical Center Rotterdam – Predicting an epidemic |
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19:30 h |
Bas Oude Munnink, Research Leader at the department of Viroscience, Erasmus Medical Center Rotterdam – Tracking the pathogen |
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19:50 h |
Azra Ghani, Chair in Infectious Disease Epidemiology, Imperial College Londen – A future with or without COVID-19? |
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20:10 h |
Cornelia van Duijn and Teun Bousema, Panel discussion - The next chapter. |
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20:30 h |
End of the webinar |
More information
You can read more about the subject in our brochure 'Epidemics of infectious diseases: What science says'. Click here to open the brochure.
We also made a short bibliography if you would like to read more about the subject. Click here to open the bibliography.