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Elisabeth Zeilinger

University of Vienna - Faculty of Psychology

Universitaetsstrasse 7

1010 Vienn

Austria

  • University of Vienna - Faculty of Psychology

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Scholarly Papers (1)

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Analysing the Effect of Containment and Mitigation Measures on COVID-19 Infection Rates Using Machine Learning on Data of 95 Countries: An Observational Study

Number of pages: 27 Posted: 18 May 2020
Ingo W. Nader, Elisabeth Zeilinger, Dana Jomar and Clemens Zauchner
IT Power Services GmbH, University of Vienna - Faculty of Psychology, IT Power Services GmbH and IT Power Services GmbH
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Abstract:

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COVID-19; coronavirus; mitigation measures; containment measures; government measures; non-pharmaceutical interventions; machine learning; accumulated local effect plots; infection rate; cross-country study