TY - JOUR
T1 - Data sharing
T2 - A Long COVID perspective, challenges, and road map for the future
AU - Oladejo, Sunday O.
AU - Watson, Liam R.
AU - Watson, Bruce W.
AU - Rajaratnam, Kanshukan
AU - Kotze, Maritha J.
AU - Kell, Douglas B.
AU - Pretorius, Etheresia
N1 - Publisher Copyright:
© 2023. The Author(s). Published.
PY - 2023
Y1 - 2023
N2 - ‘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.
AB - ‘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.
KW - Long COVID
KW - Data sharing
KW - Data science
U2 - 10.17159/sajs.2023/14719
DO - 10.17159/sajs.2023/14719
M3 - Journal article
C2 - 39324014
AN - SCOPUS:85163518409
SN - 0038-2353
VL - 119
JO - South African Journal of Science
JF - South African Journal of Science
IS - 5/6
M1 - 14719
ER -