Epidemic Analytics for Decision Supports in COVID19 Crisis

The book highlights the importance of AI and data analytics models in fighting against the Covid-19 pandemic, showcasing a collection of important models and discussing their efficacy and limitations. It provides insights for readers from healthcare industries and academia, helping them prepare for future virus epidemics.

Format: Hardback
Length: 158 pages
Publication date: 21 May 2022
Publisher: Springer Nature Switzerland AG

Covid-19 has emerged as the deadliest pandemic of the century, leaving the world unprepared. Governments and authorities, acting as leaders and decision-makers in the fight against the virus, have extensively relied on the power of AI and its data analytics models to provide urgent decision support at unprecedented levels. This book presents a compilation of critical data analytics models employed during the epidemic, offering a comprehensive discussion and comparison of their effectiveness and limitations. Readers, spanning from both the healthcare industry and academia, will gain valuable insights into the design and application of data analytics models on epidemic data. By examining Covid-19 as a case study, readers, particularly those working in similar fields, will be better equipped to prepare for the potential resurgence of a new wave of virus epidemics in the near future.

Weight: 418g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030952808
Edition number: 1st ed. 2022