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Updated: Nov 4, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities.
Ariel L Rivas1, Marc H V van Regenmortel2
1Center for Global Health, School of Medicine, University of New Mexico, Albuquerque, NM, United States.
This study summarizes COVID-19 research to identify gaps and contradictions, highlighting the need for interdisciplinary approaches and social integration to address complex problems in epidemiology, policy, and education.
Area of Science:
- Interdisciplinary research methods
- Public health policy
- Epidemiology
- Vaccinology
- Health economics
- Educational strategies
Background:
- Over 130,000 peer-reviewed studies on COVID-19 emerged within one year, overwhelming researchers and policymakers.
- The rapid growth of COVID-19 literature necessitates efficient synthesis to prevent errors and identify research gaps.
- Existing research synthesis methods may be insufficient for the complexity and scale of the COVID-19 pandemic.
Purpose of the Study:
- To provide a synopsis of COVID-19 literature, preventing errors and detecting cognitive gaps.
- To generate a dialogue addressing omissions and contradictions in COVID-19 research through a novel 'method on methods'.
- To foster interdisciplinary and social integration for a comprehensive understanding and effective response to the pandemic.
Main Methods:
- A dual review approach: first from Biology to Policy, then from Policy back to its assumptions.
- Identifying nine inter-related problems, research needs, or omissions across various scientific and policy domains.
- Utilizing a 'method on methods' to generate visualizations revealing relationships, omissions, and contradictions.
Main Results:
- Nine critical areas requiring attention were identified: epidemiological data systems, non-symptomatic case detection, cost-benefit analysis, personalized testing, vaccine effectiveness factors, long-term economic predictions, paradigm errors, governance models, and educational programs.
- The analysis revealed a need for disciplinary and social integration to optimally address these identified problems.
- Visualizations highlighted possible relationships, omissions, and contradictions within the COVID-19 research landscape.
Conclusions:
- Interdisciplinary and social integration are crucial for effectively addressing the identified problems in COVID-19 research.
- A frequently practiced 'method on methods' can mitigate the limitations of scope and obsolescence in literature synthesis.
- Open-ended, interdisciplinary perspectives and broad social participation are vital for constructing and reconstructing COVID-19 knowledge.
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