Nishimwe, A., Ruranga, C., Musanabaganwa, C., Mugeni, R., Semakula, M., Nzabanita, J., Kabano, I., Uwimana, A., Utumatwishima, J. N., Kabakambira, J. D., Uwineza, A., Halvorsen, L., Descamps, F., Houghtaling, J., Burke, B., Bahati, O., Bizimana, C., Jansen, S., Twizere, C., & Nkurikiyeyezu, K. (2022). 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. BMC Medical Informatics & Decision Making, 22(1), 1-9. https://doi.org/10.1186/s12911-022-01965-9

NISHIMWE, Aurore, RURANGA, Charles, MUSANABAGANWA, Clarisse, MUGENI, Regine, SEMAKULA, Muhammed, NZABANITA, Joseph, KABANO, Ignace, UWIMANA, Annie, UTUMATWISHIMA, Jean N., KABAKAMBIRA, Jean Damascene, UWINEZA, Annette, HALVORSEN, Lars, DESCAMPS, Freija, HOUGHTALING, Jared, BURKE, Benjamin, BAHATI, Odile, BIZIMANA, Clement, JANSEN, Stefan, TWIZERE, Celestin and NKURIKIYEYEZU, Kizito, 2022. 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. BMC Medical Informatics & Decision Making. 12 August 2022. Vol. 22, no. 1, p. 1-9. DOI 10.1186/s12911-022-01965-9.

Nishimwe, A., C. Ruranga, C. Musanabaganwa, R. Mugeni, M. Semakula, J. Nzabanita, I. Kabano, A. Uwimana, J. N. Utumatwishima, J. D. Kabakambira, A. Uwineza, L. Halvorsen, F. Descamps, J. Houghtaling, B. Burke, O. Bahati, C. Bizimana, S. Jansen, C. Twizere, and K. Nkurikiyeyezu. “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.”. BMC Medical Informatics & Decision Making, vol. 22, no. 1, Aug. 2022, pp. 1-9, https://doi.org/10.1186/s12911-022-01965-9.

Nishimwe, Aurore/Ruranga, Charles/Musanabaganwa, Clarisse/Mugeni, Regine/Semakula, Muhammed/Nzabanita, Joseph et al.: 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., BMC Medical Informatics & Decision Making 2022, 1-9.

Nishimwe, A., Ruranga, C., Musanabaganwa, C., Mugeni, R., Semakula, M., Nzabanita, J., Kabano, I., Uwimana, A., Utumatwishima, J.N., Kabakambira, J.D., Uwineza, A., Halvorsen, L., Descamps, F., Houghtaling, J., Burke, B., Bahati, O., Bizimana, C., Jansen, S., Twizere, C. and Nkurikiyeyezu, K. (2022), “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.”, BMC Medical Informatics & Decision Making, Vol. 22 No. 1, pp. 1-9.