Join training programs designed by leading experts in epidemiological research, mathematical modelling, and public health data analysis.
Past Training Programs
Intensive Short Course: Mathematical Modelling for Vaccine-preventable Diseases
The Vaccine Impact Modelling Consortium (VIMC) and the Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi are excited to announce an intensive 6-day short course on Mathematical Modelling for Vaccine-preventable Diseases. This course is specifically designed for participants from low and middle-income countries and will be held in Nairobi, Kenya from 9-15 September 2024.
Bridging the Gap Hackathon
The 'Bridging the Gap Hackathon' is a 5-day event to bring together public health decision-makers, developers, technical experts, and academics and researchers to create free, open-source resources to support and facilitate evidence-informed decision making and address health policy needs in Kenya.
Introduction to Concepts in Epidemiology
The University of Nairobi Center for Epidemiological Modelling and Analysis is offering an introductory in-person training on Concepts in Epidemiology.
Free online R statistics workshop for postgraduate students
The Universities of Nairobi (UoN), Centre for Epidemiological Modelling and Analysis (CEMA), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Pwani University(PU) and KEMRI-Kilifi with funding from Cambridge-Africa's Alborada Research Fund is offering a free online R statistics workshop for postgraduate students from 31st October to 25th November 2022.
Health Technology Assessment (HTA) Training
The University of Nairobi Center for Epidemiological Modelling and Analysis (CEMA), in collaboration with Health Intervention and Technology Assessment Program (HITAP) in Thailand and Imperial College London, concluded its 5-day, in-person introductory training on Health Technology Assessment (HTA) on Friday 26th July. The event, hosted at the University of Nairobi Towers, left participants inspired and equipped with vital skills for the future of healthcare decision-making.