Cover for Data Science for COVID-19

Data Science for COVID-19

Volume 2: Societal and Medical Perspectives

Book2022

Edited by:

Utku Kose, Deepak Gupta, ... Ashish Khanna

Data Science for COVID-19

Volume 2: Societal and Medical Perspectives

Book2022

 

Cover for Data Science for COVID-19

Edited by:

Utku Kose, Deepak Gupta, ... Ashish Khanna

About the book

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Book description

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 techni ... read full description

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  2. Book chapterAbstract only

    1 - Essentials of the COVID-19 coronavirus

    Godwin Michael Ubi, Ekei V. Ikpeme and Imaobong Sunday Essien

    Pages 1-25

  3. Book chapterAbstract only

    2 - Docking study of transmembrane serine protease type 2 inhibitors for the treatment of COVID-19

    Naishadh Solanki

    Pages 27-39

  4. Book chapterAbstract only

    3 - Gut-lung cross talk in COVID-19 pathology and fatality rate

    Afaf El-Ansary, Hanan Balto and Solaiman M. Al-Hadlaq

    Pages 41-59

  5. Book chapterAbstract only

    4 - Data sharing and privacy issues arising with COVID-19 data and applications

    Z. Müftüoğlu, M.A. Kızrak and T. Yıldırım

    Pages 61-75

  6. Book chapterAbstract only

    5 - COVID-19 outlook in the United States of America: a data-driven thematic approach

    Ebenezer Agbozo, Josue Kuika Watat and Sunday Adewale Olaleye

    Pages 77-93

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    6 - Artificial intelligence and COVID-19: fighting pandemics

    Ayse Tulay Aydinoglu and Ibrahim Kushchu

    Pages 95-112

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    7 - Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA

    R. Mohammed Harun Babu, M. Shebana, ... K. Arun Kumar

    Pages 113-139

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    8 - Application of big data in COVID-19 epidemic

    Joseph Bamidele Awotunde, Emmanuel Abidemi Adeniyi, ... Roseline Oluwaseun Ogundokun

    Pages 141-165

  10. Book chapterAbstract only

    9 - Artificial intelligence-based solutions for COVID-19

    Mohandas V. Pawar, Asha Mohandas Pawar, ... Nikhilkumar Shardoor

    Pages 167-189

  11. Book chapterAbstract only

    10 - Telemedicine applications for pandemic diseases, with a focus on COVID-19

    E. Alperay Tarim, Betul Karakuzu, ... H. Cumhur Tekin

    Pages 191-208

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    11 - Impact of COVID-19 and lockdown policies on farming, food security, and agribusiness in West Africa

    B.A. Ojokoh, O.S. Makinde, ... F. Adzitey

    Pages 209-223

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    12 - Study and impact analysis of COVID-19 pandemic clinical data on infection spreading

    Sasmita Parida, Aisworya Mohanty, ... Chhabi Rani Panigrahi

    Pages 225-242

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    13 - Toward analyzing the impact of healthcare treatments in industry 4.0 environment—a self-care case study during COVID-19 outbreak

    Asif Khan, Jian Ping Li, ... Amin Ul Haq

    Pages 243-256

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    14 - Big data processing and analysis on the impact of COVID-19 on public transport delay

    Yuming Ou, Adriana-Simona Mihăiţă and Fang Chen

    Pages 257-278

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    15 - The role of societal research and centers in analyzing society in pandemic times

    Zehra Altinay, Huseyin Bicen, ... Menil Celebi

    Pages 279-298

  17. Book chapterAbstract only

    16 - Modeling and predicting the spread of COVID-19: a continental analysis

    B.A. Ojokoh, O.A. Sarumi, ... O.T. Babalola

    Pages 299-317

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    17 - Applications of Building Information Modeling for COVID-19 spread assessment due to the organization of building artifacts

    M.P. Rahla Rabia, D. Sathish Kumar, ... Rupendra Kumar Pachauri

    Pages 319-333

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    18 - COVID-19 diagnosis—myths and protocols

    Iqra Muzammil, Amjad Islam Aqib, ... Muhammad Tahir

    Pages 335-353

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    19 - “Quarantined within a quarantine”: COVID-19 and GIS Dynamic Scenario Modeling in Tasmania, Australia

    Zaheer Allam, David S. Jones, ... Mozhdeh Rostemnezhad Cherati

    Pages 355-395

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    20 - Essentials of COVID-19 and treatment approaches

    Aditi Pandey and Shivam Yadav

    Pages 397-422

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    21 - Coronavirus epidemic and its social/mental dimensions: the Turkey case

    Mustafa Hulki Cevizoğlu

    Pages 423-432

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    22 - Coronavirus: a scientometric study of worldwide research publications

    Mallikarjun Kappi, Sab M. Chaman, ... Vitthal T. Bagalkoti

    Pages 433-448

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    23 - The effects of COVID-19 pandemic on Western Balkan financial markets

    Luan Vardari

    Pages 449-464

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    24 - Prioritization of health emergency research and disaster preparedness: a systematic assessment of the coronavirus disease 2019 pandemic

    Temitope C. Ekundayo, Israel R. Orimoloye, ... Anthony I. Okoh

    Pages 465-486

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    25 - A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19

    Subrato Bharati, Prajoy Podder, ... Utku Kose

    Pages 487-505

  27. Book chapterAbstract only

    26 - Control of antibiotic resistance and superinfections as a strategy to manage COVID-19 deaths

    Afaf El-Ansary, Hanan Balto, ... Najat Marraiki

    Pages 507-530

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    27 - Assessment of global research trends in the application of data science and deep and machine learning to the COVID-19 pandemic

    Israel R. Orimoloye, Olusola O. Ololade, ... Temitope C. Ekundayo

    Pages 531-546

  29. Book chapterAbstract only

    28 - Identification of lead inhibitors of TMPRSS2 isoform 1 of SARS-CoV-2 target using neural network, random forest, and molecular docking

    Alakanse Suleiman Oluwaseun, Joel Ireoluwa Yinka, ... Olarewaju Ayodeji Durojaye

    Pages 547-575

  30. Book chapterAbstract only

    29 - The linkage between the epidemic of COVID-19 and oil prices: case of Saudi Arabia, January 22 to April 17

    Said Khalfa Mokhtar Brika, Abdelmageed Algamdi, ... Adam Ahmed Musa

    Pages 577-588

  31. Book chapterAbstract only

    30 - Role of big geospatial data in the COVID-19 crisis

    Sajad Ahmad Mir, M Sultan Bhat, ... Durdanah Mattoo

    Pages 589-609

  32. Book chapterAbstract only

    31 - COVID-19: will it be a game changer in higher education in India?

    Anal Acharya, Soumen Mukherjee, ... Arpan Deyasi

    Pages 611-629

  33. Book chapterAbstract only

    32 - Are the northern and southern regions equally affected by the COVID-19 pandemic? An empirical evidence from Nigeria

    Timothy A. Ogunleye and Akinfemi P. Bamidele

    Pages 631-645

  34. Book chapterAbstract only

    33 - COVID-19 lethality reduction using artificial intelligence solutions derived from telecommunications systems

    Christophe Gaie and Markus Mueck

    Pages 647-666

  35. Book chapterAbstract only

    34 - The significance of daily incidence and mortality cases due to COVID-19 in some African countries

    Olusola Samuel Makinde, Bamidele Mustapha Oseni, ... Gbenga Jacob Abiodun

    Pages 667-680

  36. Book chapterAbstract only

    35 - Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19

    Mayank Sharma, Kabir Narang, ... Rashmi Gupta

    Pages 681-703

  37. Book chapterAbstract only

    36 - COVID-19: in the direction of monitoring the pandemic in India

    Tathagata Mukherjee, Ankita Banerjee, ... Tirthankar Mukherjee

    Pages 705-728

  38. Book chapterAbstract only

    37 - Potential antiviral therapies for coronavirus disease 2019 (COVID-19)

    Jasdeep Singh and Divya Singhal

    Pages 729-748

  39. Book chapterNo access

    Index

    Pages 749-776

About the book

Description

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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-323-90769-9

Language

English

Published

2022

Copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Imprint

Academic Press

Editors

Utku Kose

Deepak Gupta

Victor Hugo C. de Albuquerque

Ashish Khanna