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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.

News and Media

Read our articles on Epidemiology and Modelling, Research and Collaborations
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Malaria Atlas Project - Country Risk Mapping

CEMA-Africa Seminar Series

Topic:

Group photo of HTA training participants
Embrace Evidence-Based Decision Making in Health Technology Assessment: Stakeholders Told

The University of Nairobi Center for Epidemiological Modelling and Analysis (CEMA), in collaboration with Healt

Juan Fernando
Upcoming Webinar: Vaccine Efficacy Trials for Crimean Congo Hemorrhagic Fever
Don't miss this opportunity to gain valuable insights into vaccine efficacy trials for Crimean Congo Hemorrhagic Fever and the application of mathematical models in epidemiology. July 17, 2024

EPIDEMIOLOGY


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

CLINICAL RESEARCH

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:

COVID 19

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

HIV

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

Data

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

Training

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

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