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El. knyga: Data Science for COVID-19: Volume 2: Societal and Medical Perspectives

Edited by , Edited by (Associate Professor, Department of Computer Engineering, Süleyman Demirel University, Isparta, Turkey), Edited by (Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India), Edited by (Pr)
  • Formatas: EPUB+DRM
  • Išleidimo metai: 22-Oct-2021
  • Leidėjas: Academic Press Inc
  • Kalba: eng
  • ISBN-13: 9780323907705
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  • Formatas: EPUB+DRM
  • Išleidimo metai: 22-Oct-2021
  • Leidėjas: Academic Press Inc
  • Kalba: eng
  • ISBN-13: 9780323907705
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Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible.
  • Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus
  • Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice
  • Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications
  • Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics
Contributors xxi
Foreword xxxiii
Preface xxxv
1 Essentials of the COVID-19 coronavirus
1(26)
Godwin Michael Ubi
Ekei V. Ikpeme
Imaobong Sunday Essien
1 Introduction
1(2)
2 Materials and methods
3(2)
3 Revealed essential features of COVID-19 coronavirus
5(22)
Abbreviations
22(1)
References
22(5)
2 Docking study of transmembrane serine protease type 2 inhibitors for the treatment of COVID-19
27(14)
Naishadh Solanki
1 Introduction
27(1)
2 Materials and methods
28(2)
3 Results
30(2)
4 Discussion
32(5)
5 Conclusions
37(4)
References
37(2)
Further reading
39(2)
3 Gut-lung cross talk in COVID-19 pathology and fatality rate
41(20)
Afaf El-Ansary
Hanan Balto
Solaiman M. Al-Hadlaq
1 Introduction
41(1)
2 Adult human gut microbiota
42(1)
3 Respiratory tract microbiota
43(1)
4 Gut-lung cross talk during viral COVID-19
44(2)
5 Suggested COVID-19 intervention strategies through the use of probiotics and prebiotics
46(3)
6 The role of probiotic in ventilator-associated pneumonia
49(12)
References
51(10)
4 Data sharing and privacy issues arising with COVID-19 data and applications
61(16)
Z. Muftuoglu
M.A. Kizrak
T. Yildmm
1 Introduction
61(1)
2 The process of accelerating COVID-19 research
62(2)
3 Medical data and sharing
64(3)
4 COVID-19 applications and privacy
67(6)
5 Discussion and suggestions for further research
73(4)
References
74(3)
5 COVID-19 outlook in the United States of America: a data-driven thematic approach
77(18)
Ebenezer Agbozo
Josue Kuika Watat
Sunday Adewale Olaleye
1 Introduction
77(1)
2 Socio technical theory
78(3)
3 Methodology
81(2)
4 Results
83(6)
5 Discussions
89(1)
6 Conclusion
90(5)
References
91(4)
6 Artificial intelligence and COVID-19: fighting pandemics
95(18)
Ayse Tulay Aydinoglu
Ibrahim Kushchu
1 Introduction
95(2)
2 Phases for fighting pandemics
97(6)
3 Present artificial intelligence efforts for fighting COVID-19
103(3)
4 Ethical use of artificial intelligence while fighting COVID-19
106(1)
5 Ongoing lessons from COVID-19
107(1)
6 Concluding remarks
108(5)
References
110(3)
7 Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA
113(28)
R. Mohammed Harun Babu
M. Shebana
R. Mohammed Harish
V. Kanimozhi
K. Arun Kumar
1 Introduction
113(2)
2 Background
115(6)
3 Overview of dataset
121(1)
4 Statistical analysis
121(9)
5 Outbreak of COVID-19, as of March 31, 2020
130(2)
6 Outbreak of COVID-19, as of April 25, 2020
132(3)
7 Comparison of COVID-19 in March and April
135(1)
8 Conclusion
136(5)
References
136(5)
8 Application of big data in COVID-19 epidemic
141(26)
Joseph Bamidele Awotunde
Emmanuel Abidemi Adeniyi
Paul Oluwatoba Kolawole
Roseline Oluwaseun Ogundokun
1 Introduction
141(3)
2 The growth of data in healthcare
144(8)
3 Big data privacy and ethical challenges in COVID-19
152(2)
4 Big data analytics in COVID-19 epidemic
154(4)
5 Conclusion
158(9)
References
159(8)
9 Artificial intelligence-based solutions for COVID-19
167(24)
Mohandas V. Pawar
Asha Mohandas Pawar
Haribhau Bhapkar
J. Anuradha
Ravindra Bachate
Ashok Sharma
Suraj Bhoyar
Nikhilkumar Shardoor
1 Introduction
167(7)
2 Technologic solutions to help combat the COVID-19 outbreak
174(11)
3 Limitations and future scope
185(6)
References
187(4)
10 Telemedicine applications for pandemic diseases, with a focus on COVID-19
191(18)
E. Alperay Tarim
Betul Karakuzu
Cemre Oksuz
H. Cumhur Tekin
1 Introduction
191(2)
2 Telemedicine applications during epidemic/pandemic
193(2)
3 Telemedicine applications for COVID-19
195(6)
4 Discussion
201(2)
5 Conclusions and future work
203(6)
Acknowledgment
203(1)
References
204(5)
11 Impact of COVID-19 and lockdown policies on farming, food security, and agribusiness in West Africa
209(16)
B.A. Ojokoh
O.S. Makinde
L.S. Fayeun
O.T. Babalola
K.V. Salako
F. Adzitey
1 Introduction
209(3)
2 Methods
212(2)
3 Results
214(5)
4 Discussion
219(2)
5 Conclusion and recommendations
221(4)
Acknowledgments
222(1)
References
222(3)
12 Study and impact analysis of COVID-19 pandemic clinical data on infection spreading
225(18)
Sasmita Parida
Aisworya Mohanty
Suvendu Chandan Nayak
Bibudhendu Pati
Chhabi Rani Panigrahi
1 Introduction
225(3)
2 Related work
228(2)
3 Clinical data analysis
230(4)
4 Case study
234(4)
5 Proposed model for the prediction of COVID-19
238(2)
6 Conclusion and future scope
240(3)
References
240(3)
13 Toward analyzing the impact of healthcare treatments in industry 4.0 environment---a self-care case study during COVID-19 outbreak
243(14)
Asif Khan
Jian Ping Li
Faraz Hasan
Imran Memon
Amin Ul Haq
1 Introduction
243(5)
2 Case study: experimental simulation, results, and analysis
248(5)
3 Conclusion
253(4)
Author contributions
254(1)
Funding
254(1)
Acknowledgments
254(1)
Conflicts of interest
254(1)
References
255(2)
14 Big data processing and analysis on the impact of COVID-19 on public transport delay
257(22)
Yuming Ou
Adriana-Simona Mihaita
Fang Chen
1 Introduction
257(2)
2 Data preparation
259(4)
3 Methodology
263(7)
4 Case study
270(5)
5 Conclusion and future work
275(4)
References
276(3)
15 The role of societal research and centers in analyzing society in pandemic times
279(20)
Zehra Altinay
Huseyin Bicen
Fahriye Altinay
Gokmen Dagli
Mukaddes Sakalli Demirok
Behcet Oznacar
Yagmur Cerkez
Menil Celebi
1 Introduction
279(2)
2 Materials and methods
281(2)
3 Findings
283(12)
4 Discussion
295(1)
5 Conclusions and suggestions/future work
295(4)
References
296(3)
16 Modeling and predicting the spread of COVID-19: a continental analysis
299(20)
B.A. Ojokoh
O.A. Sarumi
K.V. Salako
A.J. Gabriel
A.E. Taiwo
O.V. Johnson
I.P. Adegun
O.T. Babalola
1 Introduction
299(2)
2 A continental review of modeling and prediction studies
301(2)
3 Discussion
303(9)
4 Conclusion
312(7)
References
313(6)
17 Applications of Building Information Modeling for COVID-19 spread assessment due to the organization of building artifacts
319(16)
M.P. Rahla Rabia
D. Sathish Kumar
Jasim Farooq
Rupendra Kumar Pachauri
1 Introduction
319(2)
2 Summarizing the applications of Building Information Modeling for CSAOBA
321(4)
3 An add-in tool for building-level communal spread due to seating arrangements within a room
325(1)
4 Case study
326(4)
5 Discussion
330(1)
6 Conclusion
330(5)
References
331(4)
18 COVID-19 diagnosis---myths and protocols
335(20)
Iqra Muzammil
Amjad Islam Aqib
Qaisar Tanveer
Sidra Muzmmal
Muhammad Aamir Naseer
Muhammad Tahir
1 Introduction
335(1)
2 Diagnostic methods
336(13)
3 Conclusion
349(6)
References
349(6)
19 "Quarantined within a quarantine": COVID-19 and GIS Dynamic Scenario Modeling in Tasmania, Australia
355(42)
Zaheer Allam
David S. Jones
Phillip B. Rods
Murray Herron
Farnad Nasirzadeh
Paras Sidiqui
Mozhdeh Rostemnezhad Cherati
1 Introduction
355(2)
2 Managing pandemics with data science and technology
357(2)
3 Australia and COVID-19
359(17)
4 Data science context
376(4)
5 Tasmania COVID-19 spread: systems dynamic modeling
380(5)
6 North West Tasmania emergency response and recovery dynamic scenario modeling
385(2)
7 Conclusions and future work
387(10)
Acknowledgments
388(1)
References
389(8)
20 Essentials of COVID-19 and treatment approaches
397(26)
Aditi Pandey
Shivam Yadav
1 Introduction
397(1)
2 History and epidemiology
398(2)
3 Structure of SARS-CoV-2
400(1)
4 Pathogenesis
401(3)
5 Treatment approaches
404(11)
6 Various approaches to design vaccine
415(2)
7 Conclusions
417(6)
References
417(6)
21 Coronavirus epidemic and its social/mental dimensions: the Turkey case
423(10)
Mustafa Hulki Cevizoglu
1 Introduction
423(3)
2 Looting culture and perspectives with phenomenology
426(1)
3 Unethical criminal and the "produced anxiety"®
427(2)
4 Self-ostracism® and the coronavirus hallucination
429(1)
5 Political structure of the coronavirus and the cultural racism
430(1)
6 Conclusion: Foucault, "big locking down," and "the world is a great madhouse"
431(2)
References
431(2)
22 Coronavirus: a scientometric study of worldwide research publications
433(16)
Mallikarjun Kappi
Sab M. Chaman
Balabhim Sankrappa Biradar
Vitthal T. Bagalkoti
1 Introduction
433(1)
2 Methodology
434(1)
3 Analysis and results
435(9)
4 Results and Findings
444(2)
5 Conclusion
446(3)
References
447(2)
23 The effects of COVID-19 pandemic on Western Balkan financial markets
449(16)
Luan Vardari
1 Introduction
449(1)
2 Literature review
450(2)
3 What is coronavirus
452(1)
4 The effects of globalization
452(1)
5 Materials and methods
453(4)
6 Discussion
457(1)
7 Conclusion
458(7)
Appendix
458(5)
References
463(2)
24 Prioritization of health emergency research and disaster preparedness: a systematic assessment of the coronavirus disease 2019 pandemic
465(22)
Temitope C. Ekundayo
Israel R. Orimoloye
Olusola O. Ololade
Anthony I. Okoh
1 Introduction
465(2)
2 Data analytics
467(1)
3 Evaluation of collaboration network in health emergency research
467(2)
4 Analytic platforms
469(1)
5 Results
469(13)
6 Discussion
482(1)
7 Conclusion
483(4)
Acknowledgments
484(1)
Conflicts of interest
484(1)
Appendix A Supplementary data
484(1)
References
484(3)
25 A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19
487(20)
Subrato Bharati
Prajoy Podder
M. Rubaiyat Hossain Mondal
Priya Podder
Utku Kose
1 Introduction
487(2)
2 Origin of coronavirus
489(1)
3 Epidemiology of coronavirus
490(1)
4 Transmission
490(1)
5 Genome structure
491(1)
6 Phylogenetic analysis
492(1)
7 Statistical analysis on COVID-19
492(3)
8 Clinical features of COVID-19
495(3)
9 Treatment with drugs
498(1)
10 Progress on vaccines
499(1)
11 Conclusions
500(7)
References
500(7)
26 Control of antibiotic resistance and superinfections as a strategy to manage COVID-19 deaths
507(24)
Afaf El-Ansary
Hanan Balto
Solaiman M. Al-Hadlaq
Sayed H. Auda
Najat Marraiki
1 Introduction
507(1)
2 Effect of superinfections on immune response and the severity of COVID-19 infection
508(3)
3 Antibiotic resistance as a challenge in the COVID-19 pandemic
511(2)
4 Alternative treatment strategies to overcome antibiotic resistance as a contributor to COVID-19 deaths
513(5)
5 Mouthwashes as an early preventive strategy
518(13)
References
520(11)
27 Assessment of global research trends in the application of data science and deep and machine learning to the COVID-19 pandemic
531(16)
Israel R. Orimoloye
Olusola O. Ololade
Olapeju Y. Ekundayo
Emmanuel T. Busayo
Gbenga A. Afuye
Ahmed M. Kalumba
Temitope C. Ekundayo
1 Introduction
531(1)
2 Data and methodology
532(2)
3 Results and discussion
534(10)
4 Conclusion
544(3)
References
545(2)
28 Identification of lead inhibitors of TMPRSS2 isoform 1 of SARS-CoV-2 target using neural network, random forest, and molecular docking
547(30)
Alakanse Suleiman Oluwaseun
Joel Ireoluwa Yinka
George Oche Ambrose
Adigun Temidayo Olamide
Sulaiman Faoziyat Adenike
Ohanaka Judith Nkechinyere
Idris Mukhtar
Yekeen Abeeb Abiodun
Olarewaju Ayodeji Durojaye
1 Introduction
547(1)
2 Materials and methods
548(3)
3 Result and discussion
551(26)
References
572(5)
29 The linkage between the epidemic of COVID-19 and oil prices: case of Saudi Arabia, January 22 to April 17
577(12)
Said Khalfa Mokhtar Brika
Abdelmageed Algamdi
Khalil Ahmed Chergui
Adam Ahmed Musa
1 Introduction
577(1)
2 Materials and methods
578(1)
3 Coronavirus: pandemic scaring the world
579(2)
4 Empirical results
581(4)
5 Conclusion and recommendation
585(4)
Author contributions
585(1)
Funding
586(1)
Conflicts of interest
586(1)
References
586(3)
30 Role of big geospatial data in the COVID-19 crisis
589(22)
Sajad Ahmad Mir
M. Sultan Bhat
G.M. Rather
Durdanah Mattoo
1 Introduction
589(2)
2 Materials and methods
591(1)
3 Background
591(2)
4 GeoAI: geospatial artificial intelligence and health geographies
593(1)
5 Big geospatial data and infectious disease pattern
594(5)
6 Case studies of China and Taiwan
599(4)
7 Results and discussions
603(3)
8 Conclusion
606(5)
References
606(5)
31 COVID-19: will it be a game changer in higher education in India?
611(20)
Anal Acharya
Soumen Mukherjee
Arup Kumar Bhattacharjee
Debabrata Datta
Arpan Deyasi
1 Introduction
611(2)
2 Proposed basic learning model
613(3)
3 COVID-19: challenges in Indian education
616(2)
4 Proposed simulation
618(4)
5 Analysis of results
622(3)
6 Conclusion
625(6)
References
626(5)
32 Are the northern and southern regions equally affected by the COVID-19 pandemic? An empirical evidence from Nigeria
631(16)
Timothy A. Ogunleye
Akinfemi P. Bamidele
1 Introduction
631(5)
2 Materials and methods
636(3)
3 Results and discussion
639(3)
4 Conclusion and recommendation
642(5)
References
643(4)
33 COVID-19 lethality reduction using artificial intelligence solutions derived from telecommunications systems
647(20)
Christophe Gaie
Markus Mueck
1 Introduction
647(2)
2 Literary review
649(5)
3 European Telecommunications Standards Institute architecture
654(4)
4 Data required to reduce COVID lethality
658(2)
5 Adaptation of the European Telecommunications Standards Institute architecture to the needs of public services
660(4)
6 Conclusion
664(3)
References
664(3)
34 The significance of daily incidence and mortality cases due to COVID-19 in some African countries
667(14)
Olusola Samuel Makinde
Bamidele Mustapha Oseni
Akinola Oladiran Adepetun
Olubukola Olayemi Olusola-Makinde
Gbenga Jacob Abiodun
1 Introduction
667(2)
2 Literature review
669(1)
3 Materials and methods
670(4)
4 Results and discussion
674(3)
5 Conclusion
677(4)
References
678(3)
35 Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
681(24)
Mayank Sharma
Kabir Narang
Shubham Makhija
Deborah T. Joy
Neeraj Gupta
Rashmi Gupta
1 Introduction
681(2)
2 Literature review
683(1)
3 Data analysis
684(4)
4 Case study: COVID-19
688(4)
5 Image processing analysis
692(2)
6 Results and discussion
694(1)
7 Conclusion and future work
695(10)
Appendix A Country-wise coronavirus details
695(6)
References
701(4)
36 COVID-19: in the direction of monitoring the pandemic in India
705(24)
Tathagata Mukherjee
Ankita Banerjee
Shweta Mitra
Tirthankar Mukherjee
1 Introduction
705(1)
2 Origin and mode of transmission of COVID-19
706(1)
3 Clinical characteristics of COVID-19
707(2)
4 Current scenario of COVID-19 in India
709(3)
5 Precautions taken in India for controlling COVID-19 spread
712(11)
6 Problems faced in controlling COVID-19 spread
723(1)
7 Significance and outcomes of the adopted measures
724(2)
8 Future measures
726(1)
9 Conclusion
727(2)
Acknowledgments
727(1)
References
727(2)
37 Potential antiviral therapies for coronavirus disease 2019 (COVID-19)
729(16)
Jasdeep Singh
Divya Singhal
1 Introduction
729(2)
2 Genome organization
731(2)
3 Epidemiology and clinical features
733(1)
4 Potential antiviral therapies under consideration
734(10)
5 Conclusion and future work
744(1)
References 745(4)
Index 749
Dr. Utku Kose is an Associate Professor at Süleyman Demirel University, Turkey. He received his PhD from Selcuk University, Turkey, in the field of computer engineering. He has more than 100 publications to his credit, including Deep Learning for Medical Decision Support Systems, Springer; Artificial Intelligence Applications in Distance Education, IGI Global; Smart Applications with Advanced Machine Learning and Human-Centered Problem Design, Springer; Artificial Intelligence for Data-Driven Medical Diagnosis, DeGruyter; Computational Intelligence in Software Modeling, DeGruyter; Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; and Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press, among others. Dr. Kose is a Series Editor of the Biomedical and Robotics Healthcare series from Taylor & Francis/CRC Press. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.

Victor Hugo C. de Albuquerque [ M17, SM19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Cearį, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Cearį, Fortaleza/CE, Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraķba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Cearį (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Cearį (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic. Dr. Ashish Khanna has 16 years of expertise in teaching, entrepreneurship, and research and development. He received his PhD from the National Institute of Technology, Kurukshetra, India, and completed a post-doc degree at the National Institute of Telecommunications (Inatel), Brazil. He has published around 40 SCI-indexed papers in 'IEEE Transactions', and in other reputed journals by Springer, Elsevier, and Wiley, with a cumulative impact factor of above 100. He has published around 90 research articles in top SCI/Scopus journals, conferences, and book chapters. He is co-author or editor of numerous books, including 'Advanced Computational Techniques for Virtual Reality in Healthcare' (Springer), 'Intelligent Data Analysis: From Data Gathering to Data Comprehension' (Wiley), and 'Hybrid Computational Intelligence: Challenges and Applications' (Elsevier). His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning. He is one of the founders of Bhavya Publications and the Universal Innovator Lab, which is actively involved in research, innovation, conferences, start-up funding events, and workshops. He is currently working at the Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain.