Preprint / Version 1

Germany's 'coronavirus anomaly': Statistical evidence that early mass testing leads to low mortality rates

##article.authors##

  • Giovani L. Vasconcelos Departamento de Física, Universidade Federal do Paraná, Curitiba, PR https://orcid.org/0000-0001-6609-5960
    • Antônio M. S. Macêdo Departamento de Física, Universidade Federal de Pernambuco, Recife, PE
      • Inês C. L. Souza 3Hippos Consultoria de Dados, Curitiba, PR https://orcid.org/0000-0001-7758-8269
        • Raydonal Ospina Departamento de Estatística, Universidade Federal de Pernambuco, Recife, PE https://orcid.org/0000-0002-9884-9090
          • Francisco A. G. Almeida Departamento de Física, Universidade Federal de Sergipe, São Cristovão, SE
            • Gerson C. Duarte-Filho Departamento de Física, Universidade Federal de Sergipe, São Cristovão, SE https://orcid.org/0000-0003-4975-4981
              • Christian Holm Universität Stuttgart, Institut für Computerphysik, Stuttgart, Germany

                DOI:

                https://doi.org/10.1590/SciELOPreprints.212

                Keywords:

                Covid-19, low mortality rates, anomaly, Germany

                Abstract

                In this note, we present a statistical analysis of the mortality rates of COVID-19 for several selected European countries. We compare the countries' mortality rates with their respective number of tests as a function of the time since the first death. Our analysis shows that countries that either delayed mass testing, such as Italy, or have not fully adopted it, such as France and the UK, have had much higher mortality rates than Germany, which has adopted a policy of wide and early testing. Conversely, countries that have followed Germany's example, such as Portugal, have so far had comparatively low mortality rates.

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                Posted

                04/27/2020

                How to Cite

                Germany’s ’coronavirus anomaly’: Statistical evidence that early mass testing leads to low mortality rates. (2020). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.212

                Section

                Health Sciences

                Plaudit