Andrew Omame

Papers

Total Citations

H-Index

About

Andrew Omame is a leading researcher at the intersection of mathematical epidemiology, control theory, and smart healthcare technologies. His work focuses on developing advanced co-infection models that integrate real-time data from Internet of Things (IoT) devices and networked robots to predict and mitigate the spread of infectious diseases. His most cited paper, "HAC-19: A Co-Infection Model for Infectious Diseases Using IoT-Networked Robots" (2025), proposes a novel framework where robotic systems installed at the edges of smart healthcare infrastructure can screen, diagnose, and treat patients while forecasting pandemics. This work has garnered 1 citation in its early stages, signaling growing interest in his innovative approach. Omame’s contributions are pivotal in bridging the gap between theoretical disease modeling and practical, technology-driven public health interventions. By leveraging IoT and robotics, he offers scalable solutions for real-time epidemic management, particularly in resource-limited settings. His research holds promise for transforming how healthcare systems prepare for and respond to complex co-infections, making him a rising voice in the field of digital epidemiology and smart health.