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Our Background

(1) Infectious Diseases Epidemiology and Modelling Unit is institutionalized at Department of Epidemiology and Biostatistics, Makerere University School of Public Health
(2) The modelling interests are of focus are; Mathematical Modeling, Statistical Modeling, Computational Modeling, Machine Learning Modeling, Artificial Intelligence Modeling and Economic Modeling.
(3) There are monthly virtual journal club meetings with the institutional mentor to appraise progress of members.
(4) IDEMU-Mak will support in organizing short course trainings in R, Python and mathematical modelling which will prepare them to be globally.
(5) We aim to contribute to; future projections prevalence, Transmission dynamics, Control strategies, Elimination strategies, Cost-effectiveness, Climate change, Budget impact, Ecological modelling and Causal inference.

What We Do

To build capacity (Trainings) in Mathematical Modelling in Uganda

Capacity Building

To build capacity (Trainings) in Mathematical Modelling in Uganda

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To create a platform for knowledge exchange and mentorship in Infectious diseases Epidemiology and Modelling in Uganda

Mentorship

To create a platform for knowledge exchange and mentorship in Infectious diseases Epidemiology and Modelling in Uganda

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To create a platform for modelers' contribution to national health policy agenda

Modelling

To create a platform for modelers’ contribution to national health policy agenda

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Our Staff

Our Team

Abel Wilson Walekhwa

Abel Walekhwa

Senior Epidemiologist (Director & Team Leader)

During COVID-19 pandemic, I joined Pathogen Economy Bureau at Science, Technology and Innovation Secretariat – office of the President where I currently serve as a Senior Epidemiologist. I also support research and teaching at Department of Disease Control and Environmental Health, Makerere University School of Public Health (Uganda). After my master’s research, I was competitively selected among the 13 inaugural fellows at Centre of Epidemiological Modelling and Analysis (CEMA) at University of Nairobi (Kenya) where I undertook specific interest in Mathematical Modelling of Rift Valley fever disease, a project I have proceeded with for my PhD studies under the guidance of Dr Andrew Conlan in the Department of Veterinary Medicine.

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Brenda Nakazibwe

Brenda Nakazibwe

Senior Epidemiologist

I work at Science, Technology and Innovation, Secretariat-
Office of the President as the Team Leader, the National Pathogen Economy- Uganda. I am a Ph.D. Aspirant focusing on developing a One- Health Approach for Modeling and Improving Maternal and Neonatal Outcomes. I am also a national trainer of trainers with WHO in Integrated Disease Surveillance and Response. I am a decorated AFENET Corp of Disease Detective (ACoDD) and have participated in response as a frontline Epidemiologist in responding to disease outbreaks on the National Rapid Response Teams for Cholera, Ebola, Anthrax, and COVID-19.  My passion is neonatal and maternal health and I am devoting my efforts to developing models to support designing interventions to mitigate effects of zoonotic diseases on maternal neonatal health.

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Nakasujja-Proscovia

Nakasujja Proscovia

statistician

Nakasujja Proscovia is an accomplished statistician in the final stages of completing her Master’s degree in Biostatistics at Makerere University. With over three years of dedicated experience, she has honed her skills in drawing meaningful inferences and facilitating informed decision-making through data analysis.
Proscovia commitment to her field extends beyond statistics. Her true passion lies in the realm of mathematical modeling, a passion that has been a driving force throughout her academic journey. This fervor led her to incorporate mathematical modeling into her master’s dissertation, where she delved into the complex world of studying tuberculosis(TB). Proscovia is currently engaged in research projects aimed at publishing papers on dengue fever and malaria, further solidifying her presence in the field of modeling.
Her dedication to both statistics and mathematical modeling exemplifies her commitment to enhancing our understanding of complex biological phenomena and contributing valuable insights to the scientific community. With a promising future ahead, Proscovia is poised to make significant contributions to the world of biostatistics and mathematical modeling.

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Moureen Caroline Ochieng

Moureen Caroline Ochieng

Data scientist & Community leader

Moureen Caroline Ochieng is a driven data scientist and community leader, driven by a passion for using data science and mathematical modeling to revolutionize industries. Her journey into data science began as a backend developer on a waste management project in Uganda, where she skillfully utilized Python, Flask framework, and integrated payment options like mobile money, Visa/Master cards, and USSD. This experience proved pivotal in her career, providing invaluable knowledge in data collection and analysis. Actively engages with communities, sharing her expertise while continuously learning from others. She has conducted time series analysis on Covid-19 growth, explored prostate cancer datasets, and currently focuses on developing a mathematical model to understand and mitigate the transmission dynamics of Influenza.

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Kemigisha Grace

Kemigisha Grace

Medical Clinical Officer (MCO)

Kemigisha Grace, a Medical Clinical Officer (MCO), and a Bachelor of Environmental Health Sciences student, at the School of Public Health Makerere University.
Piloting a one-month-onsite continuous professional training of Health Workers in Private For-Profit (PFPs) Health facilities on malaria management in Kampala Uganda.In this project, we will conduct mentorship on Malaria management and adherence to established policies and guidelines. This will build competence for health workers in PFPs yet generate evidence for scaling up this intervention countrywide if successfully executed. By 2040, I see an epidemiologist, grant, winner, capacity builder, and mentor in infectious diseases epidemiological modelling.

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Frank Gramsen Kizza

Frank Gramsen Kizza

Environmental Health scientist

Frank Gramsen Kizza, an Environmental Health scientist. Am working on a modelling project to understand the Impact of Urbanization on the Transmission of Dengue Fever in Kampala Uganda. Epidemiology and modelling skills are critical for understanding and addressing public health challenges. With the ongoing emergence of new infectious diseases, the growing burden of chronic diseases, and the need for evidence-based policy and decision-making, The continued need for professionals with expertise in epidemiology and modelling I believe having such skills will put me in a position to help in the response to such challenges in the future.

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Musisi Pascal

Musisi Pascal

Data Scientist

My name is Musisi Pascal. I have Bachelor of Science in Mathematics (Major) and Computer Science (Minor) from Makerere University Kampala. I am currently doing a Master’s degree in Applied Mathematic (computational mathematics) where I am fascinated with Partial differential Equation’s modelling of Ecological phenomenon and my research topic is “Lotka-Volterra Predator-Prey Population Model with Spatial and Temporal Effects”.  I seek to continue carrying out research in PDE modelling of Epidemics and provide Second Opinion Models that can aid in effective decision making. I hope to have a PhD and be a prominent researcher by 2040.

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Muhumuza Nicholas

Muhumuza Nicholas

Public health specialist

Nicholas is a Public health specialist with 12 years of professional work and three years of research experience in Community health worker’s response to disease outbreaks in Uganda.
 My research interest are; Infectious diseases Epidemiology, Statistical Epidemiology and Modelling focusing on malaria and Tuberculosis (TB), Neglected tropical diseases (NTD).
By the year 2040 I want to see myself with a PhD in infectious diseases or neglected tropical disease epidemiology. Published more than 50 articles in research journals, mentored over 1000 people in the varea of infectious disease epidemiology and modelling. I should have won over 50 research grants, worked with international organizations like, WHO, (CDC), UNICEF, AFENET and lecturing in reputable universities across the world.

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Preston Orimwesiga

Preston Orimwesiga

Computer Scientist

Preston Orimwesiga, a skilled software developer, data analyst, and an aspiring epidemiologist, I hold a BSc. in ITC and am currently pursuing a MSc. in Computer Applications. With expertise in healthcare data analysis, I employ statistical modeling and machine learning algorithms to derive insights. My current project focuses on modeling Respiratory Tract Infections in Uganda. I aim to identify key factors and develop predictive models for effective prevention and control strategies. By 2040, I envision myself as a respected epidemiologist and data scientist, collaborating globally to develop comprehensive models for disease surveillance, outbreak prediction, and resource allocation, ultimately improving public health outcomes.

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Resident Fellows (2023-2024)

Our achievements and ongoing projects.

Our recent Achievements are training of 19 fellows a short course on Introduction to Mathematical modelling, basic python skills, Practical/hands-on experience and application of concepts by MBIO students in mathematical modelling beyond the infectious diseases modeling course, 4 draft models developed with policy briefs/recommendations for action and Network opportunities for the MBIO students and fellows.

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Team Members & Collaborators

Completed & Ongoing Projects

Recognitions & Awards

Happy trained Fellows