AUTHOR=Shaffer Jeffrey G. , Mather Frances J. , Wele Mamadou , Li Jian , Tangara Cheick Oumar , Kassogue Yaya , Srivastav Sudesh K. , Thiero Oumar , Diakite Mahamadou , Sangare Modibo , Dabitao Djeneba , Toure Mahamoudou , Djimde Abdoulaye A. , Traore Sekou , Diakite Brehima , Coulibaly Mamadou B. , Liu Yaozhong , Lacey Michelle , Lefante John J. , Koita Ousmane , Schieffelin John S. , Krogstad Donald J. , Doumbia Seydou O. TITLE=Expanding Research Capacity in Sub-Saharan Africa Through Informatics, Bioinformatics, and Data Science Training Programs in Mali JOURNAL=Frontiers in Genetics VOLUME=10 YEAR=2019 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2019.00331 DOI=10.3389/fgene.2019.00331 ISSN=1664-8021 ABSTRACT=
Bioinformatics and data science research have boundless potential across Africa due to its high levels of genetic diversity and disproportionate burden of infectious diseases, including malaria, tuberculosis, HIV and AIDS, Ebola virus disease, and Lassa fever. This work lays out an incremental approach for reaching underserved countries in bioinformatics and data science research through a progression of capacity building, training, and research efforts. Two global health informatics training programs sponsored by the Fogarty International Center (FIC) were carried out at the University of Sciences, Techniques and Technologies of Bamako, Mali (USTTB) between 1999 and 2011. Together with capacity building efforts through the West Africa International Centers of Excellence in Malaria Research (ICEMR), this progress laid the groundwork for a bioinformatics and data science training program launched at USTTB as part of the Human Heredity and Health in Africa (H3Africa) initiative. Prior to the global health informatics training, its trainees published first or second authorship and third or higher authorship manuscripts at rates of 0.40 and 0.10 per year, respectively. Following the training, these rates increased to 0.70 and 1.23 per year, respectively, which was a statistically significant increase (