About This Seminar
A comprehensive two-week specialized training course on mathematical modelling of infectious diseases with a focus on malaria, hosted by CEMA at the University of Nairobi in collaboration with Swiss Tropical and Public Health Institute (Swiss TPH). Open to researchers and health science professionals from malaria-endemic African countries.
This intensive training program provides participants with comprehensive understanding and practical skills in epidemiology, mathematical modelling of diseases, R programming, simulation algorithms, health economic evaluation, and policy communication, specifically tailored to malaria control and elimination. The course combines theoretical foundations with hands-on experience through guided projects applicable to participants' specific areas of interest in malaria modelling.
Objectives
Provide comprehensive understanding of epidemiology and infectious disease modelling fundamentals
Develop practical skills in R programming for data management, analysis, and model simulation
Build expertise in malaria-specific modelling for strategic decision making
Introduce health economic evaluation principles and cost-effectiveness analysis
Enhance skills in communicating complex modelling insights to stakeholders and policymakers
Key Highlights
The course combines theoretical learning with practical application through hands-on R programming sessions, real-life malaria country modelling case studies, and guided projects. Participants will gain experience with simulation algorithms, model validation with empirical data, and effective communication of findings to inform public health policies and interventions.
Seminar Details
The Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi, in collaboration with the Swiss Tropical and Public Health Institute (Swiss TPH), delivers specialized training in mathematical modelling of infectious diseases. This partnership combines CEMA's expertise in epidemiological modelling with Swiss TPH's extensive experience in tropical and public health research, providing participants with world-class training in malaria modelling and public health decision-making.
