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The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource forcomputer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.
List of contents
1. An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis.- 2. Role of Computational Intelligence against COVID-19.- 3. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks.- 4. Social Network Analysis for the Identification of Key Spreaders during COVID-19.- 5. Mobile Technology Solution for COVID -19: Surveillance and Prevention.- 6. The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic.- 7. A Review on Predictive Systems and Data Models for COVID-19.- 8. A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India.- 9. Computational Intelligence Approach for Prediction of COVID-19 using Particle Swarm Optimization. 10. COVID-19 Insightful Data Visualization and Forecasting using Elasticsearch.
About the author
Dr. Khalid Raza is an Assistant Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has also served as an "ICCR Chair Professor" at Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt. He has 10 years of teaching & research experience in the field of computational intelligence and its various applications. He has contributed over 70 research articles in reputed journals and edited books, one single-authored book, and reviewed over 100 research articles for reputed journals/conferences in the last 5 years. He has also served as "International Contributor" for the book "Java: How to Program" by Deitel and Deitel, International Edition (Pearson). Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in national and international conferences and workshops, and chaired technical sessions in various national and international conferences. He has also executed two Indian government-funded research projects. Dr. Raza is a member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest lies in computational intelligence and its applications in bioinformatics, viro-informatics, and health informatics.
