Miracle Amadi

Miracle Amadi is a Postdoctoral Researcher (Research Fellow) in the Department of Computational Engineering at the School of Engineering Sciences, Lappeenranta-Lahti University of Technology (LUT University), Finland. Amadi's research focuses on developing and applying computational and statistical models to study infectious disease dynamics, including malaria, HIV, dengue, and COVID-19, with a particular emphasis on the impact of environmental factors and intervention strategies.

Amadi's research interests span computational epidemiology, mathematical modeling of infectious diseases, Bayesian statistics, and public health. Their work integrates advanced statistical techniques such as Bayesian model selection, parameter estimation, and uncertainty quantification with epidemiological data to address critical public health challenges. Recent projects have examined the relationship between meteorological factors and disease incidence, the evolution of insecticide resistance in malaria vectors, and the effectiveness of non-pharmaceutical interventions during the COVID-19 pandemic.

Analysis of Amadi's recent publications (2018-2025) reveals a strong trend in applying hybrid modeling approaches, including agent-based and spatio-temporal models, to complex epidemiological problems. A significant portion of the work focuses on malaria, with additional contributions to HIV, dengue, lumpy skin disease, and COVID-19. The research consistently emphasizes the role of environmental and climatic factors in disease transmission and the evaluation of control strategies, demonstrating a commitment to data-driven public health decision-making.