Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation
Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation
Abstract We generate synthetic data documenting COVID-19 cases in Austria by the means of an agent-based simulation model. The model simulates the transmission of the SARS-CoV-2 virus in a statistical replica of the population and reproduces typical patient pathways on an individual basis while simultaneously integrating historical data on the implementation and expiration of population-wide countermeasures. The resulting data semantically and statistically aligns with an official epidemiological case reporting data set and provides an easily accessible, consistent and augmented alternative. Our synthetic data set provides additional insight into the spread of the epidemic by synthesizing information that cannot be recorded in reality.
Schneckenreither G¨1nter、Urach Christoph、Rauber Andreas、Weibrecht Nadine、Popper Nikolas、Rippinger Claire、Zechmeister Melanie、Brunmeir Dominik、Bicher Martin
Information and Software Engineering, Vienna University of Technologydwh simulation servicesInformation and Software Engineering, Vienna University of TechnologyDEXHELPP ¨C Decision Support for Health Policy and PlanningInformation and Software Engineering, Vienna University of Technologydwh simulation servicesDEXHELPP ¨C Decision Support for Health Policy and Planningdwh simulation servicesInformation and Software Engineering, Vienna University of Technology
医学研究方法生物科学研究方法、生物科学研究技术预防医学
Schneckenreither G¨1nter,Urach Christoph,Rauber Andreas,Weibrecht Nadine,Popper Nikolas,Rippinger Claire,Zechmeister Melanie,Brunmeir Dominik,Bicher Martin.Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation[EB/OL].(2025-03-28)[2025-05-03].https://www.medrxiv.org/content/10.1101/2020.11.07.20227462.点此复制
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