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: 10.4121/21276624

Jetty Komrij; Martijn H. H. Schoot Uiterkamp; Martijn Gösgens; Nelly Litvak (2022): Dashboard COVID-19 Early Warning System – documentation and data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21276624.v1

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Categories

• Government and Politics
• Applied Mathematics
• Public Health (excl. Specific Population Health)

Keywords

Compartmental modelling COVID-19 modeling decision support application epidemiology forecasting method SARS-CoV-2 (SARS2)

Licence

CC BY 4.0

Interoperability

• IIIF Manifest
• RO-Crate Metadata

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by Jetty Komrij, Martijn H. H. Schoot Uiterkamp , Martijn Gösgens , Nelly Litvak

This is the documentation and the data for the interactive dashboard that predicts the spreading of COVID-19 on municipality level. The predictions are based on epidemic model that uses mobility information between municipalities. the mobility information is not a part of this dataset. 

History

• 2022-10-07 first online, published, posted

Publisher

4TU.ResearchData

Associated peer-reviewed publication

The role of inter-regional mobility in forecasting SARS-CoV-2 transmission

References

• https://royalsocietypublishing.org/doi/full/10.1098/rsif.2022.0486

Language

nl

Funding

• 10430 03201 0011 ‘Mobility- and behavior-based early-warning system after the first wave of COVID-19’ ZonMw

Organizations

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)