Evidence for positive long- and short-term effects of vaccinations against COVID-19 in wearable sensor metrics -- Insights from the German Corona Data Donation Project

no code implementations • 6 Apr 2022 • Marc Wiedermann, Annika H. Rose, Benjamin F. Maier, Jakob J. Kolb, David Hinrichs, Dirk Brockmann

Vaccines are among the most powerful tools used to combat the COVID-19 pandemic.

Germany's current COVID-19 crisis is mainly driven by the unvaccinated

1 code implementation • 24 Nov 2021 • Benjamin F. Maier, Marc Wiedermann, Angelique Burdinski, Pascal Klamser, Mirjam A. Jenny, Cornelia Betsch, Dirk Brockmann

Here, we estimate that about 67%-76% of all new infections are caused by unvaccinated individuals, implying that only 24%-33% are caused by the vaccinated.

A dynamic network model of societal complexity and resilience inspired by Tainter's theory of collapse

no code implementations • 12 Feb 2021 • Florian Schunck, Marc Wiedermann, Jobst Heizig, Jonathan F. Donges

In recent years, several global events have severely disrupted economies and social structures, undermining confidence in the resilience of modern societies.

Physics and Society Populations and Evolution

Anticipation-induced social tipping -- Can the environment be stabilised by social dynamics?

no code implementations • 3 Dec 2020 • Paul Manuel Müller, Jobst Heitzig, Jürgen Kurths, Kathy Lüdge, Marc Wiedermann

Acknowledging that societies have the additional capability for foresight, this work proposes a conceptual feedback model of socio-ecological co-evolution with the specific construct of anticipation acting as a mediator between the social and natural system.

Physics and Society

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

1 code implementation • 2 Jul 2015 • Jonathan F. Donges, Jobst Heitzig, Boyan Beronov, Marc Wiedermann, Jakob Runge, Qing Yi Feng, Liubov Tupikina, Veronika Stolbova, Reik V. Donner, Norbert Marwan, Henk A. Dijkstra, Jürgen Kurths

Additionally, \texttt{pyunicorn} provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series.

Data Analysis, Statistics and Probability Atmospheric and Oceanic Physics

Macroscopic description of complex adaptive networks co-evolving with dynamic node states

2 code implementations • 19 Mar 2015 • Marc Wiedermann, Jonathan F. Donges, Jobst Heitzig, Wolfgang Lucht, Jürgen Kurths

In many real-world complex systems, the time-evolution of the network's structure and the dynamic state of its nodes are closely entangled.

Physics and Society