Data Science for COVID-19

Volume 2: Societal and Medical Perspectives

Utku Kose, Deepak Gupta, Victor Hugo Costa de Albuquerque, Ashish Khanna

• Publisher: Academic Press
• Year: 2021
• Print ISBN: 9780323907699
• eBook ISBN: 9780323907705
• Topic: Biological Sciences
• Subtopic: Biotechnology
• Index: Biological Sciences

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

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Foreword
• Preface
• 1 Essentials of the COVID-19 coronavirus
• 2 Docking study of transmembrane serine protease type 2 inhibitors for the treatment of COVID-19
• 3 Gut-lung cross talk in COVID-19 pathology and fatality rate
• 4 Data sharing and privacy issues arising with COVID-19 data and applications
• 5 COVID-19 outlook in the United States of America: a data-driven thematic approach
• 6 Artificial intelligence and COVID-19: fighting pandemics
• 7 Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA
• 8 Application of big data in COVID-19 epidemic
• 9 Artificial intelligence-based solutions for COVID-19
• 10 Telemedicine applications for pandemic diseases, with a focus on COVID-19
• 11 Impact of COVID-19 and lockdown policies on farming, food security, and agribusiness in West Africa
• 12 Study and impact analysis of COVID-19 pandemic clinical data on infection spreading
• 13 Toward analyzing the impact of healthcare treatments in industry 4.0 environment—a self-care case study during COVID-19 outbreak
• 14 Big data processing and analysis on the impact of COVID-19 on public transport delay
• 15 The role of societal research and centers in analyzing society in pandemic times
• 16 Modeling and predicting the spread of COVID-19: a continental analysis
• 17 Applications of Building Information Modeling for COVID-19 spread assessment due to the organization of building artifacts
• 18 COVID-19 diagnosis—myths and protocols
• 19 “Quarantined within a quarantine”: COVID-19 and GIS Dynamic Scenario Modeling in Tasmania, Australia
• 20 Essentials of COVID-19 and treatment approaches
• 21 Coronavirus epidemic and its social/mental dimensions: the Turkey case
• 22 Coronavirus: a scientometric study of worldwide research publications
• 23 The effects of COVID-19 pandemic on Western Balkan financial markets
• 24 Prioritization of health emergency research and disaster preparedness: a systematic assessment of the coronavirus disease 2019 pandemic
• 25 A review on epidemiology, genomic characteristics, spread, and treatments of COVID-19
• 26 Control of antibiotic resistance and superinfections as a strategy to manage COVID-19 deaths
• 27 Assessment of global research trends in the application of data science and deep and machine learning to the COVID-19 pandemic
• 28 Identification of lead inhibitors of TMPRSS2 isoform 1 of SARS-CoV-2 target using neural network, random forest, and molecular docking
• 29 The linkage between the epidemic of COVID-19 and oil prices: case of Saudi Arabia, January 22 to April 17
• 30 Role of big geospatial data in the COVID-19 crisis
• 31 COVID-19: will it be a game changer in higher education in India?
• 32 Are the northern and southern regions equally affected by the COVID-19 pandemic? An empirical evidence from Nigeria
• 33 COVID-19 lethality reduction using artificial intelligence solutions derived from telecommunications systems
• 34 The significance of daily incidence and mortality cases due to COVID-19 in some African countries
• 35 Data interpretation leading to image processing: a hybrid perspective to a global pandemic, COVID-19
• 36 COVID-19: in the direction of monitoring the pandemic in India
• 37 Potential antiviral therapies for coronavirus disease 2019 (COVID-19)
• Index