Online webinar: Mathematics and COVID-19

Social network modelling and the spread of infectious diseases

Social networks can lead to the rapid spread of infectious diseases. Epidemiological modelling can be used to chart not only the spread of disease within these networks but also the impact of measures introduced to control that spread.

That makes it possible to study the effect of testing and contact tracing and how a disease can spread within a social network if no action is taken. During this webinar, three experts discuss the mathematical methods that underpin this research and can also be applied beyond the current pandemic.


  • Pinar Keskinocak, William W. George Chair and professor in the School of Industrial and Systems Engineering and the co-founder and director of the Center for Health and Humanitarian Systems at Georgia Institute of Technology, US - Infectious Disease Modeling.
  • Shane Henderson, Charles W. Lake, Jr. professor in Productivity in the School of Operations Research and Information Engineering (ORIE), Cornell University, US - Modeling enabled Cornell University to reopen for in-person instruction in fall 2020.
  • Clara Stegehuis, assistant professor at the department of Electrical Engineering, Mathematics and Computer Science, University of Twente, NL - Networks and contact tracing: why intuition may fail.

A more detailed description of the topics that will be discussed can be found here.

The webinar is moderated by Michel Mandjes, professor of applied probability theory, University of Amsterdam, and Frank den Hollander, professor of mathematics, probability theory and statistics, Leiden University.

More information and registration

You are very welcome at this KNAW corona webinar. Participation is free, but registration is necessary via the registration form.

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