Rakow, ChristianMüller, Sebastian AlexanderNagel, Kai2021-06-292021-06-292021https://depositonce.tu-berlin.de/handle/11303/13262http://dx.doi.org/10.14279/depositonce-12054This data set contains the output of an agent-based epidemiological simulation in the form of infection events that allow to analyze the infection graph. It contains data for three scenarios:(i) one without interventions, (ii) one with interventions similar to these in Germany during January 2021 and (iii) a scenario with superspreading. Each scenario has been run over many random seeds, with one person initially infected. The theta parameter, which correlates to the infectiousness of the virus, has been chosen such that each scenario is near the percolation threshold, which allows gaining insights into the virus spreading.und610 Medizin und Gesundheit380 Handel, Kommunikation, VerkehrCOVID-19SARS-CoV-2pandemicmobility modelsvirus spreading dynamicscontainmentpercolationGeneric Research Data