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Title: Priesemann-Group/covid19_inference_forecast v2020.04.29

Type Software Jonas Dehning, Johannes Zierenberg, F. Paul Spitzner, Michael Wibral, Joao Pinheiro Neto, Michael Wilczek, Viola Priesemann (2020): Priesemann-Group/covid19_inference_forecast v2020.04.29. Zenodo. Software. https://zenodo.org/record/3773282

Authors: Jonas Dehning (Max Planck Institute for Dynamics and Self-Organization) ; Johannes Zierenberg (Max Planck Institute for Dynamics and Self-Organization) ; F. Paul Spitzner (Max Planck Institute for Dynamics and Self-Organization) ; Michael Wibral (University Göttingen) ; Joao Pinheiro Neto (Max Planck Institute for Dynamics and Self-Organization) ; Michael Wilczek (Max Planck Institute for Dynamics and Self-Organization) ; Viola Priesemann (Max Planck Institute for Dynamics and Self-Organization) ;

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Summary

Code Repository of the publication "Inferring COVID-19 spreading rates and potential change points for case number forecasts"

More information

  • DOI: 10.5281/zenodo.3773282

Dates

  • Publication date: 2020
  • Issued: April 28, 2020

Rights


Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/Priesemann-Group/covid19_inference_forecast/tree/v2020.04.29
IsVersionOfhttps://doi.org/10.5281/zenodo.3773281
IsPartOfhttps://zenodo.org/communities/covid-19
IsPartOfhttps://zenodo.org/communities/zenodo