'Medical Corona Science': Philosophical and systemic issues: Re-thinking medicine? On the epistemology of Corona
1Bertalanffy Center for the Study of Systems Science, Vienna, Austria.
Insights
Medical Corona Science (MCS) primarily uses auxiliary disciplines like virology, neglecting clinical insights. Integrating clinical knowledge and systems science is crucial for a comprehensive understanding of the pandemic.
Area of Science:
- The study focuses on the disciplinary profile and knowledge production within the scientific field dedicated to the Corona pandemic, termed 'Medical Corona Science' (MCS).
Background:
- The COVID-19 pandemic highlighted a specific approach to scientific knowledge generation.
- This approach, termed 'Medical Corona Science' (MCS), is characterized by its disciplinary focus and the quality of its output.
Purpose of the Study:
- To analyze the disciplinary composition of knowledge production concerning the Corona pandemic.
- To evaluate the quality of scientific knowledge generated within this field.
- To propose improvements for future pandemic research and response.
Main Methods:
- Systematic application of criteria from the analytical philosophy of science.
- Systematic application of criteria from science and technology studies (STS).
Main Results:
- Knowledge production is dominated by auxiliary medical disciplines (e.g., virology, epidemiology), not clinical ones.
- The science is laboratory-centered, technology-driven, and data-focused, often overlooking clinical realities.
- There's a deficit in theoretical frameworks for understanding the pandemic as a complex dynamic system.
- The need for adaptation to 'post-normal science,' 'mode 2 science,' and 'Integration and Implementation Science' is identified.
Conclusions:
- A meta-scientific discussion on the epistemic value of Medical Corona Science (MCS) is necessary.
- Tools from systems science should be applied to better frame and understand the pandemic.
- Integrating clinical knowledge is essential for a more holistic scientific approach to pandemics.
Rationale, Aims, And Objectives:
The disciplinary profile and the quality of production of knowledge on Corona pandemic is studied. This scientific field is called 'Medical Corona Science'.
Methods:
Criteria of analytical philosophy of science and science studies are systematically applied.
Results:
It is shown that mainly auxiliary medical disciplines such as virology and epidemiology but not clinical disciplines provide Corona knowledge. We see a laboratory-centered, technology- and data-driven science, largely ignoring clinical issues. Therefore we call these approaches "Medical Corona Science" (MCS). We see the need to adapt to features of a 'post-normal science', a 'mode 2 science' and of 'Integration and Implementation Science', especially as clinical knowledge must be integrated. There is also a severe lack of theoretical considerations that could help to frame the pandemic as a complex dynamic system.
Conclusions:
We suggest a deeper meta-scientific discussion of the epistemic value of MCS and propose the application of tools from systems science.
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