Authors: B. Goldenbogen, S.O. Adler, O. Bodeit, J. AH Wodke, X. Escalera-Fanjul, A. Korman, M. Krantz, L. Bonn, R. Morán-Torres, J.E.L. Haffner, M. Karnetzki, I. Maintz, L. Mallis, H. Prawitz, P.S. Segelitz, M. Seeger, R. Linding, E. Klipp
Description: This data set contains simulation results of the stochastic Covid-19 simulator GERDA. Among others, the data set comprises information on the infection status and times as well as on the ID's of the infectors.
Background: Please refer to the following paper.
Original Purpose: Simulating the spreading of Covid-19 in detailed communities to asses counter measures and forecasts.
Questions: Based on the infection data, find common infection chains over (all) simulations. Sort for the length of the chains and provide a characterisation of the involved agents.
Contact: Björn Goldenbogen (bjoern.goldenbogen.1@biologie.hu-berlin.de)
License: 
4.0
Download: here
Explanatory slides from the Opening Day: here
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