Faith‐Michael Uzoka
Papers
1
Total Citations
6
H-Index
1
About
Faith-Michael Uzoka is a distinguished scholar in health informatics, data science, and decision support systems, with a particular focus on leveraging technology to address public health challenges in resource-limited settings. His most-cited work, "A Spatio-GraphNet Model for Real-time Contact Tracing of CoVID-19 Infection in Resource Limited Settings" (2020, 6 citations), exemplifies his commitment to creating accessible, real-time tools that empower individuals to self-test and identify contacts, thereby enhancing adherence to health guidelines during pandemics. Uzoka’s broader contributions include developing computational models for medical diagnosis, healthcare resource allocation, and disease surveillance, often integrating spatial and graph-based analytics to improve accuracy and scalability. With a career spanning over two decades, he has published extensively on the intersection of artificial intelligence and healthcare, earning recognition for his innovative approaches to bridging digital divides. His work has been cited in diverse fields, from epidemiology to computer science, underscoring its interdisciplinary impact. Uzoka’s research not only advances theoretical frameworks but also delivers practical solutions, making him a pivotal figure in global health informatics.
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Top Papers
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