This dataset is supplementary material for Mller, S. A., Balmer, M., Charlton, W., Ewert, R., Neumann, A., Rakow, C., Schlenther, T. Nagel, K. Predicting the effects of COVID-19 related interventions in urban settings by combiningactivity-based modelling, agent-based simulation, and mobile phone data. PLOS ONE 16 (edBenenson, I.) (Oct. 2021) https://doi.org/10.1371/journal.pone.0259037 The dataset is also used in theMath+ project EF4-13 "Modeling Infection Spreading and Counter-Measures in a Pandemic Situation Using Coupled Models" to perform the epidemic simulation studies for Berlin. The open dataset contains a 25 percent sample of the original dataset. The code for running the simulation is also available in this Github repository: https://github.com/matsim-org/matsim-episim. For the terms of use, please see the associated LICENSE file. More information can be found on our website:https://covid-sim.info/. If you have questions, please contactcovid19@vsp.tu-berlin.de . Available files: be_2020-week_snz_entirePopulation_emptyPlans_withDistricts_25pt_split.xml.gz: Population including all persons having activities in one of the events files. The person attributes are homeId, homeCoordinates, age, district of home. The coordinates are in grid accuracy of 500m. be_2020-week_snz_episim_events_sa_25pt_split.xml.gz be_2020-week_snz_episim_events_s_25pt_split.xml.gz be_2020-week_snz_episim_events_wt_25pt_split.xml.gz The episim events files for a weekday, Saturday and Sunday. The events files are filtered for the only necessary types of events (actend, actstart, PersonEntersVehicle, PersonLeavesVehicle). be_2020-vehicles.xml.gz File includes a mapping of vehiclesIds to the vehilce type. be_2020-facilities_assigned_simplified_grid.xml.gz Including the facilities used in the events files. The coordinates are in grid accuracy of 500m. be_2020-mobility_data.csv Daily mobility data for Berlin for the simulated period.
Input data for Episim Berlin Corona spreading simulation
Dataset published at Zenodo repository.