Kelvin Anoh

Papers

Total Citations

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About

Kelvin Anoh is a researcher at the intersection of robotics, the Internet of Things (IoT), and infectious disease control. His work focuses on developing networked robotic systems integrated with smart healthcare infrastructure to detect, predict, and mitigate the spread of diseases like COVID-19. Anoh’s major contributions include co-authoring "Mitigating COVID-19 Spread in Closed Populations Using Networked Robots and Internet of Things" (2024, 8 citations), which proposes combining IoT-enabled robots with physiological interventions to identify and control viral variants in closed environments. His follow-up study, "HAC-19: A Co-Infection Model for Infectious Diseases Using IoT-Networked Robots" (2025, 1 citation), extends this framework to model co-infections, equipping robots with predictive and diagnostic capabilities for pandemic management. While his citation counts are early-stage, Anoh’s work addresses a pressing global challenge—using autonomous systems to bolster public health responses. His research is notable for its practical focus on edge-deployed robots that can screen, treat, and nurse patients, offering a scalable solution for future outbreaks. For students and researchers, Anoh’s work exemplifies how robotics and IoT can transform healthcare delivery, making him a promising voice in pandemic preparedness and smart health systems.