Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

1. Front Matter

   Pages i-xix

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2. Computational Intelligence and COVID-19 Preliminaries

   1. Front Matter

      Pages 1-1

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

      • Khalid Raza, Maryam, Sahar Qazi

      Pages 3-18

   3. Role of Computational Intelligence Against COVID-19

      • Simran Kaur, Yasha Hasija

      Pages 19-43

3. Computational Intelligence in Surveillance and Prevention of COVID-19 Infection

   1. Front Matter

      Pages 45-45

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   2. Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks

      • Sahar Qazi, Salim Ahmad, Khalid Raza

      Pages 47-59

   3. Social Network Analysis for the Identification of Key Spreaders During COVID-19

      • Ahmadi Hasan, Ahmad Kamal

      Pages 61-77

   4. Mobile Technology Solution for COVID-19: Surveillance and Prevention

      • Shaban Ahmad, Pragya Chitkara, Fatima Nazish Khan, Avtar Kishan, Vaibhav Alok, Ayyagari Ramlal et al.

      Pages 79-108

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

      • Ibrahim Babangida Mohammed, Salmi Mohd Isa

      Pages 109-119

4. Computational Intelligence in Prediction and Diagnosis of COVID-19

   1. Front Matter

      Pages 121-121

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   2. A Review on Predictive Systems and Data Models for COVID-19

      • Fatima Nazish Khan, Ayesha Ayubi Khanam, Ayyagari Ramlal, Shaban Ahmad

      Pages 123-164

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

      • K. Reji Kumar

      Pages 165-174

   4. Computational Intelligence Approach for Prediction of COVID-19 Using Particle Swarm Optimization

      • R. S. M. Lakshmi Patibandla, V. Lakshman Narayana

      Pages 175-189

   5. COVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch

      • Hemant Kumar Tewtia, Deepti Singh

      Pages 191-205

   6. Computational Intelligence Methods for the Diagnosis of COVID-19

      • Sarra Akermi, Subrata Sinha, Surabhi Johari, Sunil Jayant, Anshul Nigam

      Pages 207-223

   7. Rapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection

      • Peter Mudiaga Etaware

      Pages 225-250

   8. Computational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections

      • Abdullahi Isa

      Pages 251-270

5. Computational Intelligence in Drug Design and Drug Repurposing

   1. Front Matter

      Pages 271-271

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   2. Computational Intelligence in Drug Repurposing for COVID-19

      • Manish Kumar Tripathi, Sujata Sharma, Tej P. Singh, A. S. Ethayathulla, Punit Kaur

      Pages 273-294

   3. COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline

      • Ankita Sahu, Sahar Qazi, Khalid Raza, Saurabh Verma

      Pages 295-309

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.

• Novel Coronavirus Disease
• COVID-19
• Viral Surveillance
• Viral Control
• Epidemic Forecast Model
• Drug Design for COVID-19
• Drug Repurposing for COVID-19
• Viral Prevention
• Predictive Modelling

• Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India

  Khalid Raza

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.

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