Computational Epidemiology : Data-Driven Modeling of COVID-19

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19.

• | : Ellen Kuhl
• | Publisher: Springer Nature Switzerland AG
• | Publication Date: Sep 23, 2021
• | Country of Publication: Switzerland
• | Number of Pages: 312 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 3030828891
• | ISBN-13: 9783030828899