Stephan O. Adler

TL;DR: The GERDA-1 model is the first model able to predict a bimodal behavior of SARS-Cov-2 infection dynamics and can predict infection dynamics under normal conditions and test the effect of different mitigation scenarios such as school closures, reduced social contacts as well as closure or reopening of public/work spaces.

TL;DR: This work introduces a model that predicts the effect of vaccination into an ongoing COVID-19 outbreak using precision simulation of human-human interaction and infection networks and shows that simulations incorporating non-linear network complexity and local heterogeneity can enable governance with performance-quantified vaccination strategies.

TL;DR: Based on the comprehensive changes in sRNA expression, a considerable impact of sRNAs in retrograde-dependent transcriptional changes to adjust plastidic and nuclear gene expression is assumed.

TL;DR: The authors demonstrate that the threshold for population immunity is not a unique number, but depends on the vaccination strategy, and suggests prioritizing highly interactive people diminishes the risk for an infection wave, while prioritizing the elderly minimizes fatalities when vaccinations are low.

TL;DR: It is demonstrated that even simple network motifs can exhibit temperature-dependent functional features resulting from the interplay of network structure and the distribution of activation energies over the involved reactions, expanding the scope of thermodynamic modelling of biochemical processes by addressing further possibilities and effects.