The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/33c01ff0-d3af-4293-8690-339bbca2bb37

Sirenko, Mikhail; Verbraeck, Alexander; Comes, Tina (2025): Data underlying the publication: On urban maladaptation in times of epidemics. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/33c01ff0-d3af-4293-8690-339bbca2bb37.v1

Categories

• Public Health and Health Services
• Urban and Regional Planning
• Sociology
• Built Environment and Design
• Studies in Human Society
• Medical and Health Sciences

Keywords

adaptation agent-based covid HERoS maladaptation pandemic simulation model urban

Geolocation

view on openstreetmap

Time coverage

2020

Licence

CC0

Interoperability

• RO-Crate Metadata

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by Mikhail Sirenko , Alexander Verbraeck , Tina Comes

This archive has experiment results generated with the use of the medlabs-heros simulation model. To better understand how these were used, please look at the open-access paper, GitHub repo with the analysis and the GitHub repo of the simulation model.

History

• 2025-10-30 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

References

• https://github.com/averbraeck/medlabs-heros
• https://github.com/miskh/urban-maladaptation

Funding

• Health Emergency Response in Interconnected Systems (HERoS) (grant code 101003606) [more info...] The European Union's Horizon 2020 research and innovation programme, grant call "SC1-PHE-CORONAVIRUS-2020 – Advancing knowledge for the clinical and public health response to the 2019-nCoV epidemic"

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Multi Actor Systems, Policy Analysis