Dr John Olajide Akanni

John Olajide Akanni is a Bio-Mathematician and a Mathematical Modeler. Dr Akanni  is an AfOx Mathematics Institute Visiting Fellow at the Wolfson Centre for Mathematical Biology and the Big Data Institute, University of Oxford, as part of the Africa Oxford Visiting Fellowship Programme.

Akanni obtained B. Tech (Pure and Applied Mathematics), M. Tech (Applied Mathematics), and Ph.D (Applied Mathematics) from the Department of Pure and Applied Mathematics, Ladoke Akintola University of Technology, Ogomoso, Oyo State, Nigeria. He is currently a Lecturer at the Department of Mathematical and Computing Sciences, KolaDaisi University, Ibadan, Oyo State, Nigeria. He is also Postdoctoral Fellow at the Department of Mathematics, Universitas of Airlangga, Indonesia.

Dr Akanni is a member of several professional bodies such as the Mathematical Association of Nigeria, the Nigerian Society for Mathematical Biology, the Nigerian Mathematical Society, the Nigerian Association of Mathematical Physics, the International Association of Engineers, the Black in Mathematics Association, and the African Academy of Sciences. His research focuses on modelling infectious diseases and human behavior dynamics.

During his visit to the University of Oxford, Dr Akanni will be working on fitting the deterministic model of Onchocerciasis disease to data from Nigeria using Bayesian methods. He aims to evaluate the impact of control strategies, including public health education, fumigation, and mass drug administration, in the most cost-effective way of reducing disease. Additionally, he will investigate how climate change may affect transmission.

• J. O. Akanni, F.O Akinpelu, S. Olaniyi, A. T. Oladipo, and A. W. Ogunsola (2020) Modeling financial crime population dynamics: Optimal Control and cost– effectiveness analysis, International Journal of Dynamics and Control (IJDY), 8, 531–544 .
• J. O. Akanni, S. Olaniyi and F.O Akinpelu, (2020) Global asymptotic dynamics of a nonlinear illicit drug use system, Journal of Applied Mathematics and Computing (JAMC) DOI 10.1007/s12190-020-01423-7, 22 pages.
• J. O. Akanni (2022) Mathematical assessment of the illicit drug use on terrorism spread dynamics, Journal of Applied Mathematics and Computing (JAMC) https://doi.org/10.1007/s12190-021-01674-7.
• Abidemi and J. O. Akanni (2022) Dynamics of illicit drug use and banditry population with optimal control strategies and cost-effectiveness analysis, Computational and Applied Mathematics (COAM), 41:53, https://doi.org/10.1007/s40314-022-01760-2.
• J. O. Akanni, D. A. Adediipo, O. O. Kehinde, O. W. Ayanrinola and O. A. Adeyemo (2022) Mathematical modelling of the co-dynamics of illicit drug use and terrorism, Information Sciences Letters (ISL), 11 (2), 559-572.