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Keziah Angel Clottey

Public Law

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Research Summary

(inferred from publications by AI)

The researcher's work examines how mathematical models contribute to understanding real-world phenomena, particularly disease spread dynamics. From their publications spanning 2015 to 2022, they focus on the effectiveness of these models in validating predictions, addressing limitations such as accuracy, exploring computational challenges, and assessing their practical applications in public health policy.

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.