Springer Lecture: Understanding the COVID-19 pandemic - complexity, networks, dynamics and taking a nations temperature

I will give a summary of scientific activities we designed and are still engaged in to unterstand the dynamics of the ongoing covid-19-pandemic. These activities include i) the application of computational models that we used to predict the global dissemination of the virus during the early phase of the pandemic, ii) the discovery of universal subexponential growth regimes in the first epidemic wave in China and other countries and a theoretical model that explains these observations by accounting for systematic behavioural changes in the population, iii) a nationwide high-resolution mobility monitor that we developed in Germany, that quantifies how much and in what way mobility was affected during lockdown periods and iv) a participatory experiment that we launched in March 2020 that involves >500,000 participants that donate resting heart rate, physical activity and sleep data by means of their smartwatches and based on which we designed and implemented a national fever thermometer to detect and predict the time course of confirmed cases of covid-19 in Germany and that is now used as an important surveillance data stream for the federal covid-19 situation.

Συνεδρία: 
Authors: 
Dirk Brockmann
Room: 
1
Date: 
Monday, December 7, 2020 - 12:45 to 13:25

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ccs2020conf@gmail.com