Abstract
‘Long COVID’ is the term used to describe the phenomenon in which
patients who have survived a COVID-19 infection continue to experience
prolonged SARS-CoV-2 symptoms. Millions of people across the globe are
affected by Long COVID. Solving the Long COVID conundrum will require
drawing upon the lessons of the COVID-19 pandemic, during which
thousands of experts across diverse disciplines such as epidemiology,
genomics, medicine, data science, and computer science collaborated,
sharing data and pooling resources to attack the problem from multiple
angles. Thus far, there has been no global consensus on the definition,
diagnosis, and most effective treatment of Long COVID. In this work, we
examine the possible applications of data sharing and data science in
general with a view to, ultimately, understand Long COVID in greater
detail and hasten relief for the millions of people experiencing it. We
examine the literature and investigate the current state, challenges,
and opportunities of data sharing in Long COVID research.
| Original language | English |
|---|---|
| Article number | 14719 |
| Journal | South African Journal of Science |
| Volume | 119 |
| Issue number | 5/6 |
| Number of pages | 8 |
| ISSN | 0038-2353 |
| DOIs | |
| Publication status | Published - 2023 |
Keywords
- Long COVID
- Data sharing
- Data science
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