Dr. Omondi has over 6 years of experience conducting research in Neglected Tropical Diseases (NTDs), malaria, and HIV.  His primary research interests revolve around the application of mathematical models to study the transmission, progression, and impact of various infectious diseases. He is particularly interested in epidemiological modeling, where he aims to develop compartmental models, such as Susceptible-Infectious-Recovered (SIR) and Susceptible-Exposed-Infectious-Recovered (SEIR) models, to understand the spread of diseases within populations. By integrating demographic data, social dynamics, and disease-specific parameters, he seeks to create comprehensive models that provide valuable predictions and inform public health interventions. He is enthusiastic about using statistical models to analyze epidemiological data, including disease surveillance data, case-control studies, and outbreak investigations. His research endeavors to develop statistical techniques that can effectively capture uncertainty, account for data limitations and facilitate accurate parameter estimation to inform evidence-based decision-making. By providing data-driven insights through mathematical models, my work serves as a critical tool for improving policymaking, thus contributing to an improvement of the lives and well-being of people in Africa.

Dr. Omondi has contributed to over 12 publications in infectious disease modeling.