2022 Master of Public Health, Epidemiology and Biostatistics, University of Cape Town, South Africa
2019 B.S, Wildlife Health, Makerere University, Uganda
Jacob Gizamba earned his B.S in Wildlife Health in 2019 from Makerere University, Uganda. He has master’s degree in Public Health (Epidemiology and Biostatistics specialty) from the University of Cape Town (UCT), South Africa.
He has served as a teaching assistant for a biostatistics course at the Department of Public Health and family Medicine, UCT, covering concepts such as descriptive and inferential statistical procedures, basic theoretical probability distribution, hypothesis testing and statistical programming using R software.
He has also been a Research Officer for the AXA Research Chair in Non-Communicable Disease Epidemiology (https://axa-research.org/en/project/Lara-dugas) at the Division of Epidemiology and Biostatistics, Department of Public Health, and Family Medicine, UCT since February 2022. His work broadly involved exploring the syndemics of HIV and NCDs especially hypertension, type 2 diabetes and obesity in LMIC settings. This research also involved exploring the association between gut microbiome composition and the risk of hypertension, type 2 diabetes and obesity.
He is the first author of the article “Cryptosporidium and giardia species in newly and previously habituated gorillas and nearby water sources in Bwindi Impenetrable National Park, Uganda” published in the Pan African Medical Journal. He has an article about the “Incidence and distribution of Human leptospirosis in South Africa” under review by the Pan African Medical Journal.
Jacob has an interest in epidemiology and spatiotemporal patterns of infectious diseases and disease syndemics within resource-limited settings such as tropical zoonotic infections and their transmission dynamics.
While studying in the PHP program, Jacob would like to focus his research on integration and application of epidemiological and spatial techniques as frameworks to investigate the dynamics of disease syndemics within populations experiencing epidemiological transitions.