Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond Chapman & Hall/CRC Computational Intelligence and Its Applications Series

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure.

The book offers a comprehensive coverage of the most essential topics, including:

• A general overview of pandemics and their outbreak behavior
• A detailed overview of CI techniques
• Intelligent modeling, prediction, and diagnostic measures for pandemics
• Prognostic models
• Post-pandemic socio-economic structure

The accompanying case studies are based on available real-world data sets.

While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic.

The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

1. Human Immune System and Infectious Disease

Faruk Bin Poyen

2. A Systematic Review of Predictive Models on COVID-19 with a Special Focus on CARD Modeling with SEI Formulation—An Indian Scenario

Sougata Mazumder, Debjit Majumder, and Prasun Ghosal

3. Data Analytics to Assess the Outbreak of the Coronavirus Epidemic: Opportunities and Challenges

Mourade Azrour and Jamal Mabrouki

4. Leveraging Artificial Intelligence (AI) during the Coronavirus Pandemic: Applications and Challenges

Prabha Susy Mathew, Anitha S. Pillai, and Bindu Menon

5. Early Prediction of Coronavirus Epidemic Outbreak Using Stacked Long Short-Term Memory Networks

Debanjan Konar, Siddhartha Bhattacharyya, Sourav De, Aparajita Das, Jan Platos, Sergey V. Gorbachev, and Khan Muhammad

6. Use of Satellite Sensors to Diagnose Changes in Air Quality in Africa Before and During the COVID-19 Pandemic

Loubna Bouhachlaf, Jamal Mabrouki, Fatimazahra Mousli, Souad El Hajjaji, and Driss Dhiba

7. Public Sentiments Analysis through Tweetson the COVID-19 Pandemic: A Comparative Study and Performance Assessment

Bhagwati Prasad Pande and Koushal Kumar

8. Exploring Twitter Data to Understand the Impact of COVID-19 Pandemic in India Using NLP and Deep Learning

Rahul Deb Das, Ananda Sankar Pal, Madorina Paul, and Anjan Mandal

9. Novel Coronavirus (COVID-19): Tracking, Health Care Precautions, Alerts, and Early Warnings

Anupam Mondal and Naba Kumar Mondal

10. Edge Computing-Based Smart Healthcare System for Home Monitoring of Quarantine Patients: Security Threat and Sustainability Aspects

Biswajit Debnath, Adrija Das, Ankita Das, Rohit Roy Chowdhury, Saswati Gharami, and Abhijit Das

Dr. Siddhartha Bhattacharyya did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of several coveted awards including the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India in 2017, the Honorary Doctorate Award (D. Litt.) from The University of South America and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been inducted into the People of ACM hall of fame by ACM, USA in 2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023.

He is currently serving as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He served as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He served as the Principal of RCC Institute of Information Technology, Kolkata, India during 2017-2019. He has also served as a Senior Research Scientist in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic (2018-2019). Prior to this, he was the Professor of Information Technology of RCC Institute of Information Technology, Kolkata, India. He served as the Head of the Department from March, 2014 to December, 2016. Prior to this, he was an Associate Professor of Information Technology of RCC Institute of Information Technology, Kolkata, India from 2011-2014. Before that, he served as an Assistant Professor in Computer Science and Information Tec