Chapter 1 An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis

Chapter 2 Role of Computational Intelligence Against COVID-19

Chapter 3 Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks

Chapter 4 Social Network Analysis for the Identification of Key Spreaders During COVID-19

Chapter 5 Mobile Technology Solution for COVID-19: Surveillance and Prevention

Chapter 6 The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic

Chapter 7 A Review on Predictive Systems and Data Models for COVID-19

Chapter 8 A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India

Chapter 9 Computational Intelligence Approach for Prediction of COVID-19 Using Particle Swarm Optimization

Chapter 10 COVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch

Chapter 11 Computational Intelligence Methods for the Diagnosis of COVID-19

Chapter 12 Rapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection

Chapter 13 Computational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections

Chapter 14 Computational Intelligence in Drug Repurposing for COVID-19

Chapter 15 COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline

Chapter 16 Computational Intelligence in Vaccine Design Against COVID-19

Chapter 18 IoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation

Chapter 19 Advances in Intelligent Based Internet of Medical Things (IoMT) for COVID-19: Olfactory Disorders

Chapter 20 Integrating M-Health with IoMT to Counter COVID-19

Chapter 21 Digital Image Analysis Is a Silver Bullet to COVID-19 Pandemic

Chapter 22 Non Linear Tensor Diffusion Based Unsharp Masking for Filtering of COVID-19 CT Images