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

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

Dataset

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

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

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

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. 

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

4TU.ResearchData

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

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

nl

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

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