Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale

Aurore Nishimwe1, Charles Ruranga2, Clarisse Musanabaganwa3, Regine Mugeni4, Muhammed Semakula3, Joseph Nzabanita5, Ignace Kabano2, Annie Uwimana2, Jean N. Utumatwishima4, Jean Damascene Kabakambira6, Annette Uwineza6, Lars Halvorsen7, Freija Descamps7, Jared Houghtaling7, Benjamin Burke7, Odile Bahati8, Clement Bizimana8, Stefan Jansen1, Celestin Twizere9, Kizito Nkurikiyeyezu9, Francine Birungi1, Sabin Nsanzimana3 and Marc Twagirumukiza1,10 [1] College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda. [2] African Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanda. [3] Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda. [4] Rwamagana Provincial Hospital, East province, Rwamagana, Rwanda. [5] College of Science and Technology, University of Rwanda, Kigali, Rwanda. [6] The University Teaching Hospital of Kigali (CHUK), Kigali, Rwanda. [7] edenceHealth NV, Kontich, Belgium. [8] Regional Alliance of Sustainable Development, Kigali, Rwanda. [9] Center of Excellence in Biomedical Engineering and eHealth, University of Rwanda, Kigali, Rwanda. [10] Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.