Data Analytics for Pandemics : A COVID-19 Case Study book cover
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Data Analytics for Pandemics
A COVID-19 Case Study



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ISBN 9780367558468
September 4, 2020 Forthcoming by CRC Press
88 Pages - 9 B/W Illustrations

 
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Book Description

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book:

  • discusses challenges of AI model for big data analytics in pandemic scenarios;
  • explains how different big data analytics techniques can be implemented;
  • provides a set of recommendations to minimize infection rate of COVID-19;
  • summarizes various techniques of data processing and knowledge extraction;
  • enables users to understand big data analytics techniques required for prediction purposes.

Table of Contents

1. COVID-19 Outbreak
 1.1 Introduction
 1.2 Epidemic, Pandemic Overview
1.2.1 Stages of Disease
1.2.2 Pandemic Phases
 1.3 Novel Coronavirus
 1.4 Medical Overview – Nature and Spread
 1.5 Vulnerability Index
 
2. Data processing and knowledge Extraction 
 2.1 Data Sources and Related Challenges
 2.2 Data Storage
2.2.1 Storage Services/Platforms
2.2.2 Big Data Analytics Services
2.2.3 Data Warehousing Services
 2.3 Data Processing
2.3.1 Data Preparation
2.3.2 Data Cleaning
 2.4 knowledge Extraction
2.4.1 knowledge Extraction based on Data Types
2.4.2 knowledge Extraction Techniques
 
3. Big Data Analytics for COVID-19 
 3.1 All You Need to Know
 3.2 Big Data Analytics and COVID-19
3.2.1 Statistical Parameters
3.2.2 Predictive Analytics
 3.3 Data Modelling and Performance
3.3.1 Data Modelling Phases
3.3.2 Ensemble Data Model
3.3.3 Model Performance
 3.4 Big Data Technique
3.4.1 Association Rule Learning
3.4.2 Classification Tree Analysis
3.4.3 Genetic Algorithm
3.4.4 Machine Learning
3.4.5 Regression Analysis
3.4.6 Social Network Analysis
 3.5 Big Data Tools and Technology
 
4. Mitigation Strategiesand Recommendations 
 4.1 Case Studies of Covid-19: Global Outbreak
 4.2 Mitigation Strategies and Discussion
 4.3 Issues and Challenges
 4.4 Recommendations
 4.5 Conclusions
 4.6 Future Outlook

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Author(s)

Biography

Gitanjali Shinde has overall 11 years of experience, presently working as SPPU approved Assistant Professor in Department of computer Engineering, Smt. Kashibai Navale College of Engineering, Pune – 41 till date. She has done Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark on Research Problem Statement “Cluster Framework for Internet of People, Things and Services” – Ph. D awarded on 8th May 2018. She obtained M.E. (Computer Engineering) degree from University of Pune, Pune in 2012 and B.E. (Computer Engg) degree from University of Pune, Pune in 2006. She has received research funding for project “lightweight group authentication for IoT” by SPPU, Pune. She has presented research article in World Wireless Research Forum (WWRF) meeting, Beijing China. She has published 40+ papers in National, International conferences and journals. She is author of 3 books and also editor of book “The Internet of Everything: Advances, Challenges and application” , De Gruyter Press. Ms. Asmita B. Kalamkar has 5 years of experience, presently working as Assistant Professor in Department of computer Engineering, Smt. Kashibai Navale College of Engineering, Pune – 41 till date. She obtained M.E. (Computer Engineering) degree from Savitribai Phule Pune University, Pune in 2015 and B.E. (Computer Engineering) degree from Savitribai Phule Pune University, Pune in 2013. She has published 10+ papers in National, International conferences and journals. She is author of 1 book. Parikshit N. Mahalle obtained his B.E degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India and M.E. degree in Computer Engineering from Savitribai Phule Pune University, Pune, India. He completed his Ph.D in Computer Science and Engineering specialization in Wireless Communication from Aalborg University, Aalborg, Denmark. He was Post Doc Researcher at CMI, Aalborg University, Copenhagen, Denmark. Currently, he is working as Professor and Head in the Department of Computer Engineering at STES’s Smt. Kashibai Navale College of Engineering, Pune, India. He has more than 20 years of teaching and research experience. He is serving as a subject expert in Computer Engineering, Research and Recognition Committee at several universities like SPPU (Pune), SGBU (Amravati). He is a senior member IEEE, ACM member, Life member CSI and Life member ISTE. Also, he is a member of IEEE transaction on Information Forensics and Security, IEEE Internet of Things Journal. He is a reviewer for IGI Global – International Journal of Rough Sets and Data Analysis (IJRSDA), Associate Editor for IGI Global - International Journal of Synthetic Emotions (IJSE), Inderscience International Journal of Grid and Utility Computing (IJGUC). He is a Member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence (IJACI). He is also working as an Associate Editor for IGI Global - International Journal of Synthetic Emotions (IJSE). He has also remained a technical program committee member for International conferences and symposium like IEEE ICC, IEEE INDICON, IEEE GCWSN, IEEE ICCUBEA, etc. He is a reviewer for the Springer Journal of Wireless Personal Communications, reviewer for Elsevier Journal of Applied Computing and Informatics, member of the Editorial Review Board of IGI Global – International Journal of Ambient Computing and Intelligence (IJACI), member of the Editorial Review Board for Journal of Global Research in Computer Science. He has published more than 150 research publications having 1044 citations and H index 12. He has 5 edited books to his credit by Springer and CRC Press. He has 7 patents to his credit. He has also delivered invited talk on “Identity Management in IoT” to Symantec Research Lab, Mountain View, California. He has delivered more than 100 lectures at national and international level on IoT, Big Data and Digitization. He has authored 11 books on subjects like Context-aware Pervasive Systems and Application (Springer Nature Press), Design and Analysis of Algorithms (Cambridge University), Identity Management for the Internet of Things (River Publications), Data Structure and Algorithms (Cengage Publications), Programming using Python – (Tech-Neo Publications MSBTE). He had worked as Chairman of Board of Studies (Information Technology), SPPU, Pune. He is working as Member – Board of Studies (Computer Engineering), SPPU, Pune. He has been a member of the Board of Studies at several institutions like VIT (Pune), Govt. College (Karad), Sandeep University (Nashik), Vishwakarma University (Pune), Dr. D. Y. Patil International University (Pune), etc. He has also remained a technical program committee member for many International conferences. He is a recognized Ph. D guide of SSPU, Pune and guiding 7 PhD students in the area of IoT and Machine Learning. Recently, 2 students have successfully defended their Ph.D. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions. His recent research interests include Algorithms, Internet of Things, Identity Management and Security. He has visited a few countries like Denmark, France, Sweden, Germany, Austria, Norway, China, Switzerland, and Singapore. Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology (under Techno India Group), Kolkata, India. He is also a Visiting Professor at Duy Tan University, Vietnam, He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015), Research Scientist of Laboratory of Applied Mathematical Modelling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is an associated Member of University of Reading, London, UK and Scientific Member of - Politécnica of Porto. In addition, he was awarded as one among the top 10 most published academics in the field of Computer Science in India during the period of consideration 2015-17 during ‘Faculty Research Awards’ organized by Careers 360 at New Delhi, India on March 20, 2018. Before he joined Techno India, he was Assistant Professor of JIS College of Engineering and Bengal College of Engineering and Technology. He has authored/edited more than 30 books with Elsevier, Wiley, CRC Press and Springer, and published more than 270 papers. His h-index is 26 with more than 3000 citations. He is the Editor-in-Chief of Int. J. f Ambient Computing and Intelligence (IJACI, IGI Global,UK, Scopus), Int. J. of Rough Sets and Data Analysis (IGI Global, US, DBLP,ACM dl), Co- Editor-in-Chief of Int. J. of Synthetic Emotions (IGI Global, US, DBLP,ACM dl) and International Journal of Natural Computing Research (IGI Global, US, DBLP,ACM dl). He is the Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC Press (FOCUS/Brief Series) and Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, serves as an editorial board member of several international journals, including International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access (SCI-Indexed), and International Journal of Information Technology, Springer. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis as well as Data Mining. He has been on program committees of over 50 international conferences, a workshop organizer of 5 workshops, and acted as a program co-chair and/or advisory chair of more than 10 international conferences. He has given more than 40 invited lectures in 10 countries, including many invited plenary/key note talks at the international conferences such as ITITS2017 (China), TIMEC2017 (Egypt) and SOFA2018 (Romania), BioCom2018 (UK) etc