Biography
Nathan Zoakah is a data officer at the Zankli Research Centre, where he combines his background in computer science with a strong passion for health data and research. A graduate of the University of Jos and the American University of Nigeria, he applies tools like Python, and STATA to uncover insights that support better healthcare decisions. Nathan is especially interested in TB research, Data Science and machine learning. Outside of work, he enjoys music, nature walks, and board games that keep his creativity and curiosity alive.
Key Impacts
Evaluating community-based initiatives on TB knowledge and attitude in Nasarawa, Nigeria: A machine learning comparison of survey responses
The implementation of community-based initiatives led to substantial improvements in TB knowledge and attitudes among participants. The Random Forest machine learning model demonstrated its capability in assessing public health awareness changes and affirmed its usefulness for intervention evaluations. The study demonstrates that utilizing data-driven methods enhances TB response strategies for improved public health evaluation.
Source: Conference 2024