COVID-19: Harnessing AI and Data Science

“COVID-19: Harnessing AI and Data Science explores how artificial intelligence and data-driven technologies played a pivotal role in confronting one of the most significant global health crises of our time. This comprehensive textbook examines the powerful intersection of epidemiology, machine learning, robotics, deep learning, and public health policy during the COVID-19 pandemic.

Structured for students, researchers, and professionals across disciplines, the book provides clear insights into how AI was used to track outbreaks, support diagnostics, guide policy decisions, and accelerate drug discovery. From neural networks and image analysis to privacy challenges and ethical considerations, each chapter connects real-world pandemic challenges with cutting-edge computational solutions.

Beyond the technical scope, the book addresses broader societal impacts—workforce disruption, misinformation, data governance—and offers case-based learning, practical exercises, and critical reflection points. Whether you’re in computer science, public health, or biomedical research, this resource equips you to understand and contribute to data-driven responses in times of crisis.

More than a record of technological innovation, COVID-19: Harnessing AI and Data Science is a testament to interdisciplinary collaboration and a call to prepare smarter, faster, and more responsibly for the health challenges of the future.”