COVID population model

mobility calibrated agent based simulation

data pipeline

The consortium of TU Wien & DWH developed a synthetic covid model that was used in forecasting the pandemic and deriving suggestions for interventions. Our findings are summarized here: https://syd19.netlify.app.

For the calibration of agent based simulation we used mobile-phone-based anoymized aggregated mobility data for Austria.

Our data pipeline is receiving already anonymized and aggregated data from multiple sources, subsequently it is analyzed and enriched and then used to calibrate the simulation.

We thank all the project partners who helped in making this possible.

Georg Heiler
Georg Heiler
PhD candidate & data scientist

My research interests include large geo-spatial time and network data analytics.

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