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

Author:

Dehning Jonas1ORCID,Zierenberg Johannes1ORCID,Spitzner F. Paul1ORCID,Wibral Michael2ORCID,Neto Joao Pinheiro1ORCID,Wilczek Michael13,Priesemann Viola134ORCID

Affiliation:

1. Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.

2. Campus Institute for Dynamics of Biological Networks, University of Göttingen, 37075 Göttingen, Germany.

3. Institute for the Dynamics of Complex Systems, University of Göttingen, 37077 Göttingen, Germany.

4. Bernstein Center for Computational Neuroscience, 37075 Göttingen, Germany.

Abstract

Keeping the lid on infection spread From February to April 2020, many countries introduced variations on social distancing measures to slow the ravages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Publicly available data show that Germany has been particularly successful in minimizing death rates. Dehning et al. quantified three governmental interventions introduced to control the outbreak. The authors predicted that the third governmental intervention—a strict contact ban since 22 March—switched incidence from growth to decay. They emphasize that relaxation of controls must be done carefully, not only because there is a 2-week lag between a measure being enacted and the effect on case reports but also because the three measures used in Germany only just kept virus spread below the growth threshold. Science , this issue p. eabb9789

Funder

Max Planck Institute

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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