Biography:
Paul Omoh Olopha is a researcher and academic affiliated with the Federal University of Technology, Akure, Nigeria. His research focuses on advanced statistical modeling, spatial epidemiology, and the application of machine learning techniques in public health and demographic research. He specializes in analyzing maternal and child health outcomes, health inequalities, and population health dynamics in low and middle-income countries. His work frequently utilizes large-scale population datasets, including the Nigeria Demographic and Health Survey, and employs Bayesian and artificial intelligence-driven approaches to investigate complex health patterns and generate evidence to support data-driven public health policy and intervention planning.
Title : Integrating machine learning with Bayesian structured additive spatio-temporal modeling to examine inequalities in antenatal care utilization in Nigeria