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  • © 2022

Healthcare Informatics for Fighting COVID-19 and Future Epidemics

  • Reveals solutions employing informatics for battling COVID-19 and other coronaviruses
  • Discusses health data analytics, knowledge sharing, and IoT in relation to informatics and COVID-19
  • Pertinent to researchers, professionals, and professors in informatics and related fields

Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xix
  2. A Real-Time Review of Social Health Protection and Health Informatics Support for COVID-19 Outbreak

    • Chokri Arfa, Ilker Dastan, Kamel Barkaoui, Borgi Taoufik
    Pages 11-30
  3. Active Learning-Based Estimation of COVID-19 Pandemic: A Synergetic Case Study in Selective Regions Population

    • Arijit Chakraborty, Sajal Mitra, Dipankar Das, Debnath Battacharyya, Debashis De, Sankar Prasad Mondal et al.
    Pages 31-65
  4. Statistical Analysis of Novel COVID-19 Based on Real-Time Data and Future Epidemics

    • C. H. Sekhar, M. Srinivasa Rao, Debnath Battacharyya
    Pages 91-111
  5. A Real-Time Approach with Deep Learning for Pandemic Management

    • A. Raghavendra Rao, Debabrata Samanta
    Pages 113-139
  6. Personal Protective Equipment for COVID-19: A Comprehensive Review

    • Debangana Das, Shreya Nag, Hemanta Naskar, Srikanta Acharya, Sourav Bakchi, Sheikh Saharuk Ali et al.
    Pages 141-154
  7. Extensive Statistical Analysis on Novel Coronavirus: Towards Worldwide Health Using Apache Spark

    • Eali Stephen Neal Joshua, Debnath Battacharyya, Bhanu Prakash Doppala, Midhun Chakkravarthy
    Pages 155-178
  8. Visual Exploratory Data Analysis Technique for Epidemiological Outbreak of COVID-19 Pandemic

    • Joseph Bamidele Awotunde, Roseline Oluwaseun Ogundokun, Emmanuel Abidemi Adeniyi, Sanjay Misra
    Pages 179-191
  9. Machine Learning Approach Using KPCA-SVMs for Predicting COVID-19

    • Micheal Olaolu Arowolo, Roseline Oluwaseun Ogundokun, Sanjay Misra, Akeem Femi Kadri, Tahir Olanrewaju Aduragba
    Pages 193-209
  10. COVID-19 Epidemic Impact on Various Society Sectors

    • Mohandas V. Pawar, J. Anuradha, Asha M. Pawar, Sudarshan Sanap, Rajneesh Kaur Sachdeo, Kishore Ravande et al.
    Pages 211-232
  11. A New Collaborative Platform for Covid-19, Benchmark Datasets

    • Olivier Debauche, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Pierre Manneback
    Pages 233-247
  12. Artificial Intelligence Approaches for the COVID-19 Pandemic

    • Pilla Srinivas, Divya Midhun Chakkravarthy, Debnath Battacharyya
    Pages 249-267
  13. Towards the Development of Triboelectricity-Based Virus Killer Face Mask for COVID-19: Role of Different Inputs

    • Sanjay Banerjee, Barnali Ghatak, Sk. Babar Ali, Krittish Roy, Kuntal Maity, Nityananda Das et al.
    Pages 269-283
  14. SmartCovSens: A Multimodal Approach for Detection of COVID-19

    • Sanjoy Banerjee, Debangana Das, Anwesha Sengupta, Nilava Debabhuti, Barnali Ghatak, Prolay Sharma et al.
    Pages 285-310
  15. Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images

    • Sidi Ahmed Mahmoudi, Sédrick Stassin, Mostafa El Habib Daho, Xavier Lessage, Saïd Mahmoudi
    Pages 311-336
  16. Innovative Solutions to the Clinical Challenges of COVID-19

    • S. M. Kadri, Samir Mattoo, Ailbhe H. Brady, Marija Petkovic
    Pages 337-351
  17. Healthcare Technology for Reducing the Risk and the Spread of COVID-19 Pandemic and Other Epidemics

    • Suchandra Dutta, Dhrubasish Sarkar, Premananda Jana, Dipak K. Kole
    Pages 365-383

About this book

This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

Editors and Affiliations

  • Information and Communication Technology, University of Malta, Msida, Malta

    Lalit Garg

  • Electronics & Communication Engineering, Birla Institute of Technology, Jharkhand, India

    Chinmay Chakraborty

  • University of Mons, Mons, Belgium

    Saïd Mahmoudi

  • Harrisburg University of Science and Tec, Harrisburg, USA

    Victor S. Sohmen

About the editors

Lalit Garg is an Information Technology innovator, academician, learner, teacher, developer, keynote speaker, Consultant, and researcher with a demonstrated history of working in the higher education industry and an excellent research publication record. He is skilled in solving complex problems using machine learning and data analytics, especially from the medicine and healthcare domain. Presently he is a Senior Lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He is also an honorary lecturer at the University of Liverpool, UK. He has also worked as a researcher at the Nanyang Technological University, Singapore and the University of Ulster, UK. He has supervised more than 180 Masters' dissertations and guiding 4 PhD thesis. He is awarded a research studentship in Healthcare Modelling to carry out his PhD research studies in the faculty of computing and engineering at the University of Ulster, UK. His PhD research was nominated for the Operational Research Society Doctoral Prize "Most Distinguished Body of Research leading to the Award of a Doctorate in the field of OR". He participates in many EU-funded, and local funded projects, including a one million euros Erasmus+ Programme Capacity-Building projects in the field of Higher Education (CBHE) titled Training for Medical education via innovative eTechnology (MediTec). The University of Malta has awarded him the 2021-22 Research Excellence Fund for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).

 

Dr Chinmay Chakraborty is an Assistant Professor at the Department of Electronics and Communication Engineering, BIT Mesra. His primary research areas include wireless body area networks, the Internet of Medical Things, energy-efficient wireless communications and networking, and point-of-care diagnosis. He received an Outstanding Researcher Award from TESFA in2016, a Global Peer Review Award from Publons in 2018, and a Young Faculty Award from VIFA in 2018. He is also the recipient of a Young Research Excellence Award and a Global Peer-Review Award. 

 

Prof. Saïd Mahmoudi received his PhD in Computer Science in 2003 at the University of Lille. Since 2008 he has been an Associate Professor at the University of Mons, Faculty of Engineering, Computer Science Department. His topics of interest are artificial intelligence, medical imaging and analysis, image processing and computer-aided medical diagnosis, 2D and 3D retrieval and indexing, images annotation, and the Internet of Things. He has published extensively in books, international conferences, and international journals.

 

Victor Sohmen, PhD, EdD, is a former foreign-going ship captain and project cost-controls specialist. He has taught Project Management at universities in Europe, Asia, Australia, the US, and South America. In 1990 he presented his first PMI Global Conference paper, "The Project Manager as an Information Processor and Change Agent". He has also presented internationally at IPMA, ILA, AACE, AACEI, AIPM, AERA, INTED, and INTCESS conferences, including as Keynote Speaker and Track Chair in Management, Educational Technology, and Cross-cultural Studies. In 1995 he won the Canadian Governor-General's Gold Medal for Academic Excellence. Dr Sohmen is a Canadian citizen and a Philadelphia resident. 

Bibliographic Information

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access