Dashboard COVID-19 Early Warning System – documentation and data
doi: 10.4121/21276624.v1
The doi 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
doi: 10.4121/21276624
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
categories
licence

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
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)
DATA
files
- 832,121 bytes md5 Dashboard COVID-19 Early Warning System - documentation.pdf
- 3,043,777 bytes md5 Dashboard COVID EWS - example.pdf
- 12,339,242 bytes md5 Dashboard COVID-EWS - 31-05-2021.zip
- download all files (zip)