UNDERSTANDING PANDEMIC CHALLENGES : DATA-DRIVEN AND COMPUTATIONAL APPROACHES
UNDERSTANDING PANDEMIC CHALLENGES : DATA-DRIVEN AND COMPUTATIONAL APPROACHES
Call no.
: 614.40727/ROS
Author
: Ros Idayuwati Alaudin
Contributor
: Zuraidah Binti Mat
Summary
This topic explores how data analytics and computational models help understand, predict, and manage pandemic-related challenges. It focuses on the use of data-driven methods—such as statistics, simulations, and AI—to track disease spread, support decision-making, and optimize public health responses.