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Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic

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  • Stefano Barone

    (University of Palermo)

  • Alexander Chakhunashvili

    (Karolinska University Hospital)

Abstract

The still ongoing pandemic of SARS-CoV-2 virus and COVID-19 disease, affecting the population worldwide, has demonstrated the need of more accurate methodologies for assessing, monitoring, and controlling an outbreak of such devastating proportions. Authoritative attempts have been made in traditional fields of medicine (epidemiology, virology, infectiology) to address these shortcomings, mainly by relying on mathematical and statistical modeling. However, here, we propose approaching the methodological work from a different, and to some extent alternative, standpoint. Applied systematically, the concepts and tools of statistical engineering and quality management, developed not only in healthcare settings, but also in other scientific contexts, can be very useful in assessing, monitoring, and controlling pandemic events. We propose a methodology based on a set of tools and techniques, formulas, graphs, and tables to support the decision-making concerning the management of a pandemic like COVID-19. This methodological body is hereby named Pandemetrics. This name intends to emphasize the peculiarity of our approach to measuring, and graphically presenting the unique context of the COVID-19 pandemic.

Suggested Citation

  • Stefano Barone & Alexander Chakhunashvili, 2023. "Pandemetrics: systematically assessing, monitoring, and controlling the evolution of a pandemic," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1701-1723, April.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01424-7
    DOI: 10.1007/s11135-022-01424-7
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    References listed on IDEAS

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    1. Ludger Pöhler & Kevin Kus & Frank Teuteberg, 2021. "Understanding Pandemic Dashboard Development: A Multi-level Analysis of Success Factors," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 313-330, Springer.
    2. Filomena Pietrantonio & Francesco Rosiello & Elena Alessi & Matteo Pascucci & Marianna Rainone & Enrica Cipriano & Alessandra Di Berardino & Antonio Vinci & Matteo Ruggeri & Serafino Ricci, 2021. "Burden of COVID-19 on Italian Internal Medicine Wards: Delphi, SWOT, and Performance Analysis after Two Pandemic Waves in the Local Health Authority “Roma 6” Hospital Structures," IJERPH, MDPI, vol. 18(11), pages 1-11, June.
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