In the Covid-19 Mobility Project, we study movement flows obtained from anonymized mobile phone data.
By looking at mobility we can measure how the population reacts to the pandemic, what the effects of different measures are, and use computer models to estimate how this will affect the pandemic.
Schlosser, F., Maier, B. F., Jack, O., Hinrichs, D., Zachariae, A., & Brockmann, D. (2021).
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks.
Proceedings of the National Academy of Sciences of the United States of America, 117(52), 32883–32890.
In addition to mobility and contacts, we are now looking at the worldwide air transportation network and how the new Omicron variant might spread across it.
In addition to mobility, we now show the average contacts in the population over time—with equally exciting insights into the course of the pandemic.
Our research focuses on the dynamics of infectious diseases.
We develop integrative, computational and network models, numerical methods and application-oriented computer simulations of complex contagion phenomena and disease spread.In this context, we try to improve our understanding and predict the dynamics of infectious diseases using methods from dynamical systems theory, complexity theory, complex network science, game theory and theoretical physics in a transdisciplinary approach.
You can find more information about our work on our website.