Ifeanyi Onah
Research Fellow, Infectious Disease Modelling
Contact information
Research groups
Based currently at the Big Data Institute, Dr Ifeanyi Onah is a Research fellow in infectious disease modelling interested in developing mathematical models to evaluate the impact of different control programmes for neglected tropical diseases.
Dr Ifeanyi holds a BSc degree (Mathematics Education), an MSc in Applied Mathematics, PhD in Applied Mathematics from the University of Nigeria, Nsukka specializing in mathematical modelling of infectious diseases and another PhD in Applied Mathematics from the University of Glasgow specializing in Riemann problems in the retinal circulation. He previously was an assistant lecturer in Applied Mathematics, University of Nigeria, Nsukka and recently joined the NTD Consortium at University of Oxford as a research fellow.
His current job entails data analysis and modelling of trachoma, a bacterial infection and leading cause of blindness globally. He will be evaluating the impact of the trachoma control programme in collaboration with other stakeholders. His research will also focus on a range of epidemiological, surveillance and programmatic data, statistical and mechanistic models across the NTDs for real world impact.
Recent publications
-
Elastic jump propagation across a blood vessel junction
Spelman TA. et al, (2024), Royal Society Open Science, 11
-
Application of fluid dynamics in modeling the spatial spread of infectious diseases with low mortality rate: A study using MUSCL scheme
Nnaji DU. et al, (2024), Computational and Mathematical Biophysics, 12
-
Analysis and Optimal Control Measures of a Typhoid Fever Mathematical Model for Two Socio-Economic Populations
Aniaku SE. et al, (2023), Mathematics, 11, 4722 - 4722
-
MATHEMATICAL MODELLING APPROACH OF THE STUDY OF EBOLA VIRUS DISEASE TRANSMISSION DYNAMICS IN A DEVELOPING COUNTRY.
MBAH GCE. et al, (2023), African Journal of Infectious Diseases, 17, 10 - 26
-
Analysis and optimal control measures of diseases in cassava population
Onah IS. et al, (2022), Optimal Control Applications and Methods, 43, 1450 - 1478