African Global Representation in Biomedical Sciences
Autor: | Yasmina Jaufeerally Fakim, Yosr Hamdi, Nicola Mulder, Lyndon Zass, Houcemeddine Othman, Imane Allali, Sumir Panji |
---|---|
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Value (ethics) education.field_of_study Economic growth Population Ethnic group Single group Genomics General Medicine Disadvantaged Representation (politics) 03 medical and health sciences Genetics Population 030104 developmental biology 0302 clinical medicine Geography Biomedical data Africa Humans education 030217 neurology & neurosurgery Biomedical sciences |
Zdroj: | Annual Review of Biomedical Data Science. 4:57-81 |
ISSN: | 2574-3414 |
Popis: | African populations are diverse in their ethnicity, language, culture, and genetics. Although plagued by high disease burdens, until recently the continent has largely been excluded from biomedical studies. Along with limitations in research and clinical infrastructure, human capacity, and funding, this omission has resulted in an underrepresentation of African data and disadvantaged African scientists. This review interrogates the relative abundance of biomedical data from Africa, primarily in genomics and other omics. The visibility of African science through publications is also discussed. A challenge encountered in this review is the relative lack of annotation of data on their geographical or population origin, with African countries represented as a single group. In addition to the abovementioned limitations,the global representation of African data may also be attributed to the hesitation to deposit data in public repositories. Whatever the reason, the disparity should be addressed, as African data have enormous value for scientists in Africa and globally. |
Databáze: | OpenAIRE |
Externí odkaz: |