Title: Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions

Type Software Jonas Dehning, F. Paul Spitzner, Johannes Zierenberg, Michael Wibral, Joao Pinheiro Neto, Michael Wilczek, Viola Priesemann (2020): Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Zenodo. Software. https://zenodo.org/record/3780722

Authors: Jonas Dehning (Max Planck Institute for Dynamics and Self-Organization) ; F. Paul Spitzner (Max Planck Institute for Dynamics and Self-Organization) ; Johannes Zierenberg (Max Planck Institute for Dynamics and Self-Organization) ; Michael Wibral (Universität 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) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Code repository for the paper  "Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions"

More information

• DOI: 10.5281/zenodo.3780722

Dates

• Publication date: 2020
• Issued: May 01, 2020

Rights

• https://opensource.org/licenses/GPL-2.0 GNU General Public License v2.0 or later
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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