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Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation Cover

Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation

Open Access
|Apr 2021

Authors

Nikolas Popper

nikolas.popper@tuwien.ac.at

Institute of Information Systems Engineering, TU Wien, Vienna

Melanie Zechmeister

melanie.zechmeister@dexhelpp.at

DEXHELPP – Decision Support for Health Policy and Planning, Vienna

Dominik Brunmeir

dominik.brunmeir@dwh.at

Dwh simulation services, Vienna

Claire Rippinger

claire.rippinger@dwh.at

Dwh simulation services, Vienna

Nadine Weibrecht

nadine.weibrecht@dexhelpp.at

DEXHELPP – Decision Support for Health Policy and Planning, Vienna

Christoph Urach

christoph.urach@dwh.at

Dwh simulation services, Vienna

Martin Bicher

martin.bicher@tuwien.ac.at

Institute of Information Systems Engineering, TU Wien, Vienna

Günter Schneckenreither

guenter.schneckenreither@tuwien.ac.at

Institute of Information Systems Engineering, TU Wien, Vienna

Andreas Rauber

andreas.rauber@tuwien.ac.at

Institute of Information Systems Engineering, TU Wien, Vienna
Language: English
Page range: 16 - 16
Submitted on: Nov 10, 2020
Accepted on: Mar 13, 2021
Published on: Apr 27, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Nikolas Popper, Melanie Zechmeister, Dominik Brunmeir, Claire Rippinger, Nadine Weibrecht, Christoph Urach, Martin Bicher, Günter Schneckenreither, Andreas Rauber, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.