About CEMA
CEMA
The Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi brings together a multidisciplinary consortium of epidemiologists, infectious disease specialists, clinicians, mathematicians, statisticians, computer scientists, and data scientists using data-driven approaches to control infectious diseases and improve health in Kenya and the African Continent.
CEMA bridges disciplines across different University of Nairobi schools and the private sector to deliver timely analysis to inform policy, tackle infectious diseases, and improve health outcomes.
Combining the speed and agility of the private sector with the rigor and astuteness of academia, CEMA aims at comprehensively addressing five “Africa Data for Health” focus areas:
- Data Health infrastructure strengthening
- Data wrangling and visualizations
- Building of Data Collection Digital Tools
- Applied epidemiological and mathematical modelling analysis
- Data-driven decision-making and policy formulation
- Data literacy for healthcare professionals and policymakers
CEMA Expertise
- Epidemiologists, modellers, and microbiologists from the Institute of Tropical and Infectious Diseases, University of Nairobi
- Infectious disease specialists and clinicians from the Department of Clinical Medicine and Therapeutics, University of Nairobi
- Virologists from KAVI – Institute of Clinical Research, University of Nairobi
- Computer scientists from the School of Computing and Informatics, University of Nairobi
- Data engineers and data scientists from Qhala Limited
Collaborations
- The South Africa Center for Epidemiological Modelling and Analysis – Prof Juliet Pulliam
- Epigroup at the University of Edinburgh, Tiba-Partnership – Prof Mark Woolhouse
- Cambridge Infectious Diseases and Cambridge-Africa Program – Dr Caroline Trotter
- Washington State University
- Kenya National Bereau of Statistics
- Ministry of Health
- Kenyatta National Hospital
- University of Nairobi
- Kenya Medical Research Institute
- Qhala