Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-12113
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Main Title: Output of epidemiological simulations of Berlin for predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data
Author(s): Müller, Sebastian Alexander
Rakow, Christian
Nagel, Kai
Type: Generic Research Data
Language Code: und
Abstract: The data contains outputs of agend-based epidemiological simulations of Berlin. This output was used for the paper "Predicting the effects of COVID-19 related interventions in urban settings by combining activity-based modelling, agent-based simulation, and mobile phone data". To visualize the output you can visit the website www.covid-sim.info. The detailed URLs for the visualization of the different datasets you find in the README.
URI: https://depositonce.tu-berlin.de/handle/11303/13321
http://dx.doi.org/10.14279/depositonce-12113
Issue Date: Jul-2021
Date Available: 16-Jul-2021
DDC Class: 610 Medizin und Gesundheit
380 Handel, Kommunikation, Verkehr
Subject(s): COVID-19
SARS-CoV-2
pandemic
mobility models
virus spreading dynamics
containment
public transport
Sponsor/Funder: BMBF, 01KX2022A, MODUS-COVID: Modellgestützte Untersuchung von Schulschließungen und weiteren Maßnahmen zur Eindämmung von Covid-19 - Teilprojekt 1: Urbane und regionale Simulation auf Basis von datengestützten, synthetischen Bewegungsprofilen
License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Research Data

Files in This Item:
ReproductionNumberPerActivity.zip

Results used for calculating the reproduction numbers per activity type

Format: ZIP Archive | Size: 4.68 MB
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Calibration.zip

Datasets used for calibrating the model

Format: ZIP Archive | Size: 72.77 MB
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RobustnessRuns.zip

Results used for the out of sample predictions and robustness runs

Format: ZIP Archive | Size: 212.78 MB
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README.txt
Format: Text | Size: 1.41 kB
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