TY - JOUR
T1 - Design of a FAIR digital data health infrastructure in Africa for COVID-19 reporting and research
AU - van Reisen, Mirjam
AU - Oladipo, Fransisca
AU - Stokmans, Mia
AU - Mpezamihigo, Mouhamed
AU - Folorunso, Sakinat
AU - Schultes, Erik
AU - Basajja, Mariam
AU - Aktau, Aliya
AU - Amare, Samson Yohannes
AU - Taye, Getu
AU - Jati, Putu Hadi Purnama
AU - Chindoza, Kudakwashe
AU - Wirtz, Morgane
AU - Ghardallou, Mariem
AU - van Stam, Gertjan
AU - Ayele, Wondimu
AU - Nalugala, Reginald
AU - Abdullahi, Ibrahim
AU - Osigwe, Obinna
AU - Graybeal, John
AU - Medhanyie, Araya Abrha
AU - Kawu, Abdulahi
AU - Liu, Fenghong
AU - Wolstencroft, Katy
AU - Flikkenschild, Erik
AU - Lin, Yi
AU - Stocker, Joëlle
AU - Musen, Mark
PY - 2021/6/11
Y1 - 2021/6/11
N2 - The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data. This architecture supports analytics at the point of care and—through data visiting, across facilities—for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia.
AB - The limited volume of COVID-19 data from Africa raises concerns for global genome research, which requires a diversity of genotypes for accurate disease prediction, including on the provenance of the new SARS-CoV-2 mutations. The Virus Outbreak Data Network (VODAN)-Africa studied the possibility of increasing the production of clinical data, finding concerns about data ownership, and the limited use of health data for quality treatment at point of care. To address this, VODAN Africa developed an architecture to record clinical health data and research data collected on the incidence of COVID-19, producing these as human- and machine-readable data objects in a distributed architecture of locally governed, linked, human- and machine-readable data. This architecture supports analytics at the point of care and—through data visiting, across facilities—for generic analytics. An algorithm was run across FAIR Data Points to visit the distributed data and produce aggregate findings. The FAIR data architecture is deployed in Uganda, Ethiopia, Liberia, Nigeria, Kenya, Somalia, Tanzania, Zimbabwe, and Tunisia.
KW - Data Science
KW - Ethical
KW - Health Information
KW - Knowledge Capture
KW - Legal and Social Implications
U2 - 10.1002/ggn2.10050
DO - 10.1002/ggn2.10050
M3 - Article
SN - 2641-6573
VL - 2
SP - 1
EP - 17
JO - Advanced Genetics
JF - Advanced Genetics
IS - 2
ER -