This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as AI and ML techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health.

Chapter 1 Machine Learning Implementations in COVID-19 Chapter 2 Analysis of COVID-19 Data Using Consensus Clustering Technique Chapter 3 MoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray Images Chapter 4 Application and Progress of Drone Technology in the COVID-19 Pandemic: A Comprehensive Review Chapter 5 Smart War on COVID-19 and Global Pandemics: Integrated AI and Blockchain Ecosystem Chapter 6 Machine Learning-Based Text Mining in Social Media for COVID-19 Chapter 7 Containing the Spread of COVID-19 with IoT: A Visual Tracing Approach Chapter 8 Crowd-Sourced Centralized Thermal Imaging for Isolation and Quarantine Chapter 9 Blockchain Technology for Limiting the Impact of Pandemic: Challenges and Prospects Chapter 10 A Study on Mathematical and Computational Models in the Context of COVID-19 Chapter 11 A Detailed Study on AI-Based Diagnosis of Novel Coronavirus from Radiograph Images Chapter 12 Data Analytics for COVID-19