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

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.

Table of Contents:
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 Tweets on 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