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Perspectives of (/memorandum for) systems thinking on COVID-19 pandemic and pathology

  • Felix Tretter (First Author)
  • , Eva M.J. Peters (Co-Author)
  • , Joachim Sturmberg (Co-Author)
  • , Jeanette Bennett (Co-Author)
  • , Eberhard Voit (Co-Author)
  • , Johannes W. Dietrich (Co-Author)
  • , Gary Smith (Co-Author)
  • , Wolfram Weckwerth (Co-Author)
  • , Zvi Grossman (Co-Author)
  • , Olaf Wolkenhauer (Co-Author)
  • , James A. Marcum* (Last Author)
  • *Corresponding author for this work
  • Bertalanffy Center for the Study of Systems Science
  • Justus Liebig University Giessen
  • Charité
  • University of Newcastle
  • International Society for Systems and Complexity Sciences for Health
  • University of North Carolina at Charlotte
  • Georgia Institute of Technology
  • Ruhr University Bochum
  • Klinik Blankenstein
  • The Centre for Rare Diseases Ruhr
  • International Society for the Systems Sciences
  • University of Vienna
  • Tel Aviv University
  • University of Rostock
  • Baylor University

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Is data-driven analysis sufficient for understanding the COVID-19 pandemic and for justifying public health regulations? In this paper, we argue that such analysis is insufficient. Rather what is needed is the identification and implementation of over-arching hypothesis-related and/or theory-based rationales to conduct effective SARS-CoV2/COVID-19 (Corona) research. To that end, we analyse and compare several published recommendations for conceptual and methodological frameworks in medical research (e.g., public health, preventive medicine and health promotion) to current research approaches in medical Corona research. Although there were several efforts published in the literature to develop integrative conceptual frameworks before the COVID-19 pandemic, such as social ecology for public health issues and systems thinking in health care, only a few attempts to utilize these concepts can be found in medical Corona research. For this reason, we propose nested and integrative systemic modelling approaches to understand Corona pandemic and Corona pathology. We conclude that institutional efforts for knowledge integration and systemic thinking, but also for integrated science, are urgently needed to avoid or mitigate future pandemics and to resolve infection pathology.

Original languageEnglish
Pages (from-to)415-429
Number of pages15
JournalJournal of Evaluation in Clinical Practice
Volume29
Issue number3
DOIs
StatePublished - Apr 2023
Externally publishedYes

Keywords

  • integrative systems pathology of Corona
  • methodology of systemic modelling
  • social ecology of pandemics
  • systems science and thinking

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