Dr. Joahua Kiddy Kwasi Asamoah is an applied mathematician. He obtained his bachelor's and master’s degrees from the University for Development Studies, Kwame Nkrumah University of Science and Technology, and the African Institute for Mathematical Sciences. He obtained a PhD degree in mathematics from Shanxi University, China. His research approach is characterised by developing models that balance realism and tractability, drawing upon insights from mathematics, statistics, and computational techniques. He uses ordinary differential equations, partial differential equations, optimal control theory, fractional derivatives, and environmental factors to gain insights into the qualitative behaviour of nonlinear dynamical systems arising from the mathematical modelling of phenomena in the natural sciences, with an emphasis on the transmission dynamics and control of human and animal diseases of public health and socio-economic interest. At larger scales, he is interested in constructing differential equations to describe population dynamics or devising algorithms to optimise resource allocation.

He is committed to producing robust and actionable solutions that transcend disciplinary boundaries. He has been involved in the mathematical study of the spread, control, transition dynamics, and social consequences of diseases such as Heartwater, Rabies, Q fever, Gonorrhea,

Bacterial meningitis, COVID-19, Zika, Ebola, Malaria, Dengue, Maize streak virus disease, HIV, Listeriosis, Measles, Marburg, 

Nipah virus infection, Cholera, and Smoke epidemic models.

He is an editor for five international journals and a reviewer for over 25 internationally accredited journals. He has co-authored 69 Scopus-indexed research articles, of which 63 of the publications are indexed in Web of Science.

Specifically, his research and teaching work is remarkably interdisciplinary, at the intersection of the mathematical, natural, engineering, and social sciences. 

Editorial Board Member

1. PLOS ONE
2. Virology Journal–BMC Part of Springer Nature.
3. PLOS Complex Systems
4. Franklin Open-Early Career Editorial Board-Elsevier
5. Health Economics and Management Review 

Project

Mathematical Models and Optimisation Strategies for Infectious Diseases and Biological Processes

Goal: This project seeks to develop and analyse compartmental models for diseases and biological processes in humans and animals. We will also predict control measures to reduce the spread of diseases in the selected population while assessing the socio-economic evaluations of the implemented control interventions.

Keywords: Mathematical biology; Mathematical models; Diseases; Stability analysis; Seasonal dynamics; Sensitivity analysis; Optimal control theory; Cost-effectiveness analysis; Riemann-Liouville-Caputo derivative; Atangana-Baleanu-Caputo (ABC) derivative; Caputo-Fabrizio (CF) derivatives; Fractal-fractional derivatives

Methods: Differential Equations, Fractional Calculus, and Optimal Control Theory

RESEARCH AREAS/EXPERIENCES

• Mathematical Epidemiology

• Mathematical Biology

• Computational Biology

• Optimal Control Theory

• Differential Equations

• Applied Fractional Calculus

RESEARCH PROFILE LINKS

• Publications

• Scopus

• Web of Science

• Google Scholar Webpage