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Data sharing: A Long COVID perspective, challenges, and road map for the future
Sunday O Oladejo1, Liam R Watson1,2, Bruce W Watson1
1School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Long COVID, a prolonged illness after SARS-CoV-2 infection, affects millions globally. This study explores data science and sharing to accelerate understanding and relief for Long COVID patients.
Area of Science:
- Epidemiology
- Genomics
- Medicine
- Data Science
- Computer Science
Background:
- Long COVID, characterized by persistent symptoms post-COVID-19 infection, impacts a significant global population.
- The COVID-19 pandemic highlighted the power of interdisciplinary collaboration and data sharing in addressing health crises.
- Currently, there is no universal agreement on the definition, diagnosis, or treatment strategies for Long COVID.
Purpose of the Study:
- To investigate the potential of data sharing and data science in advancing the understanding of Long COVID.
- To identify challenges and opportunities in current Long COVID research data sharing practices.
- To expedite relief for individuals suffering from prolonged SARS-CoV-2 symptoms.
Main Methods:
- Literature review of existing research on Long COVID.
- Analysis of current data sharing practices and their limitations in Long COVID studies.
- Exploration of data science methodologies applicable to Long COVID research.
Main Results:
- The study identifies a critical need for standardized data sharing protocols in Long COVID research.
- Data science offers powerful tools for analyzing complex datasets to uncover patterns in Long COVID.
- Significant challenges remain in data accessibility, interoperability, and ethical considerations.
Conclusions:
- Enhanced data sharing and advanced data science approaches are crucial for unraveling the complexities of Long COVID.
- Collaborative efforts are essential to establish consensus on Long COVID definition, diagnosis, and treatment.
- Harnessing data science can accelerate the development of effective interventions and support for Long COVID patients.
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