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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.

News and Media

Read our articles on Epidemiology and Modelling, Research and Collaborations
Asare Owusu
Using Mathematical Models to Explore Future Meningitis Vaccination Strategies in Ghana
CEMA-Africa Seminar Series - Wednesday, October 11, 2023 (12:00pm EAT) This research is in line with the WHO’s objective to defeat meningitis by 2030.
Kenya Demographic Health Survey 2022
Infant Mortality drops as new five-year health report is released
The 2022 KDHS is the 7th Demographic and Health Survey conducted in Kenya since 1989. It's designed to provide data for monitoring the population and health situation in Kenya.
CEMA Seminar Series August 2023
CEMA-Africa Seminar Series - August 2023
Topic: Assessing brucellosis control strategies in humans and cattle through a mathematical model.


We employ epidemiological and modelling skills to understand the emergence, transmission, spread and control of infectious diseases.


CEMA is involved in range of research with several partners. The aim is to generate local data that informs clinical practice and policy.
Our clinical research work spans several areas:


Currently looking at epidemiological and clinical characterisation of COVID-19, maintaining a data base of patients admitted with COVID-19

Antimicrobial Resistance

AMR surveillance work across the country. Working with multiple partners to improve capacity of clinicians and laboratory personnel.

Antimicrobial Stewardship

Working with the National Antibiotic Stewardship Interagency committee (NASIC) to look at antibiotic use and consumption


Current work includes large randomised clinical trials on new first and second line antiretroviral regimens.


Improving generation, extraction, visualisation and use of clinical data to improve care and resource allocation.


Using the rich pool of experts from diverse backgrounds, we offer an excellent platform for students to engage with research.
We Are Working Hard To

improve health in Kenya and Africa