This school focuses on modern statistical and data science methods to analyze and understand diseases. Topics include the identification of risk factors for a disease, its prevalence and incidence, statistical analysis of historical data, and prediction of its future spread. Organized by the Institute of Applied Statistics of the University of Burundi, this CIMPA School provides both theoretical foundations and practical applications of statistical techniques.
Burundi
EMA Mathematical Modeling, applications in Actuarial Sciences and Public Health
Coordinator: Jean Kayoya (Université du Burundi, Bujumbura, Burundi)
AMS Mathematics and Computer Science for Economics
Coordinator: Prof Ménédore Karimumuryango (Institute of Applied Statistics of the University of Burundi)