CIMPA School: Statistics for health

Country:Burundi
Official language of the school:English/French .
Dates of the School: June 14-25, 2027.
Deadline for registration of CIMPA participants: February 14, 2027

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.

The program covers a wide range of topics, including:

    Descriptive and inferential statistics,
    Survival analysis,
    Statistical learning (supervised and unsupervised),
    Statistical Analysis of Functional Data,
    Time series modeling,
    Geographical Information System (GIS) and statistical analysis,
    Deep Learning and Transformer Models,
    and Compartmental modeling in epidemiology.

The school is designed to:

    Provide a solid foundation in statistical methods for epidemiology,
    Equip participants with practical tools to analyze and model infectious diseases,
    Bridge the gap between statistics and medical research,
    Support research on Mpox and other public health challenges,
    Foster interdisciplinary collaboration.

Participants will gain both theoretical knowledge and practical skills using tools such as R, Python, and SageMath. Dedicated sessions will focus on real datasets and local public health challenges, encouraging collaboration and potential research outcomes in epidemiology.