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What Can Data and Analytics Tell Us About COVID-19?

What Can Data and Analytics Tell Us About COVID-19?
A Book

by Soraya Sedkaoui, PhD

  • Publisher : Elsevier
  • Release : 2021-06
  • Pages : 250
  • ISBN : 9780323810562
  • Language : En, Es, Fr & De
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Throughout history, data and analytics have had a profound impact on human health-including isolating the source of London's cholera epidemic in the 1850s and promotion of new routine practices such as hand washing following the Crimean War. What Can Data and Analytics Tell Us About COVID-19? explores the power of analytics to shed light on the novel coronavirus that has threatened the health and economic welfare of people across the globe. This text familiarizes readers with different concepts related to data science, big data technology, and the various applications of machine learning algorithms for analyzing the available data on the global problem related to COVID-19. Covers how different methods, techniques, and powerful tools of data science and machine learning can be utilized to analyze and understand COVID-19. Features chapters on machine learning algorithms and patterns for COVID-19, data visualization and COVID-19 geography, patterns of confirmed cases, and more. Includes ample case studies. Consolidates today's available information on this timely topic into a single, convenient resource.

Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry

Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry
A Book

by Demir, Mahmut,Dalg?ç, Ali,Ergen, Fatma Do?anay

  • Publisher : IGI Global
  • Release : 2021-06-25
  • Pages : 906
  • ISBN : 1799882330
  • Language : En, Es, Fr & De
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The tourism sector has been deeply affected particularly in economic terms by the COVID-19 pandemic. This crisis has led to new practices and radical changes. Scientists emphasize that mankind will face pandemics more frequently in the forthcoming years. Thus, it is important to understand the negative impacts the COVID-19 pandemic had on the tourism sector as well as the measures that were and are being put in place to protect the industry during future outbreaks. The Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry is a comprehensive reference source that reflects upon the evaluations of the experienced and ongoing pandemic crisis in the context of the tourism sector. The positive and negative effects experienced by tourism employees and tourists are examined, and post-pandemic processes and business practices are evaluated. Covering topics including consumer rights in tourism, dynamic changes in the tourism industry, and employment in tourism, this book is suitable for travel agencies, restaurateurs, hotel managers, brand managers, marketers, advertisers, managers, executives, hospitality personnel, policymakers, government officials, tourism practitioners, students, academicians, and researchers seeking the latest sustainable policies and practices that are being utilized to increase the productivity of the tourism sector and will allow it to thrive in the years to come.

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

Heterogeneous Data Management, Polystores, and Analytics for Healthcare
VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers

by Vijay Gadepally

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030710556
  • Language : En, Es, Fr & De
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Information and Communication Technologies in Tourism 2021

Information and Communication Technologies in Tourism 2021
Proceedings of the ENTER 2021 eTourism Conference, January 19–22, 2021

by Wolfgang Wörndl

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 303065785X
  • Language : En, Es, Fr & De
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Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches

Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches
A Book

by Aboul Ella Hassanien

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030633071
  • Language : En, Es, Fr & De
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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
A Book

by Khalid Raza

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811585342
  • Language : En, Es, Fr & De
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COVID-19

COVID-19
The Pandemic that Never Should Have Happened, and How to Stop the Next One

by Debora MacKenzie

  • Publisher : Hachette UK
  • Release : 2020-06-05
  • Pages : 304
  • ISBN : 0349128340
  • Language : En, Es, Fr & De
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'Excellent . . . analyses clearly and authoritatively how the coronavirus pandemic played out, what governments should have done, and what we need to do when it happens again - as it undoubtedly will' Financial Times 'You could not hope for a better guide to the pandemic world order than Debora MacKenzie, who's been on this story from the start. This is an authoritative yet readable explanation of how this catastrophe happened - and more important, how it will happen again if we don't change' Tim Harford, author of The Undercover Economist, Adapt and Messy 'This definitely deserves a read - the first of the post mortems by a writer who knows what she's talking about' Laura Spinney, author of Pale Rider: The Spanish Flu of 1918 and How It Changed the World In a gripping, accessible narrative, a veteran science journalist lays out the shocking story of how the COVID-19 coronavirus pandemic happened and how to make sure this never happens again Over the last 30 years of epidemics and pandemics, we learned every lesson needed to stop this coronavirus outbreak in its tracks. We heeded almost none of them. The result is a pandemic on a scale never before seen in our lifetimes. In this captivating, authoritative, and eye-opening book, science journalist Debora MacKenzie lays out the full story of how and why it happened: the previous viruses that should have prepared us, the shocking public health failures that paved the way, the failure to contain the outbreak, and most importantly, what we must do to prevent future pandemics. Debora MacKenzie has been reporting on emerging diseases for more than three decades, and she draws on that experience to explain how COVID-19 went from a potentially manageable outbreak to a global pandemic. Offering a compelling history of the most significant recent outbreaks, including SARS, MERS, H1N1, Zika, and Ebola, she gives a crash course in Epidemiology 101--how viruses spread and how pandemics end--and outlines the lessons we failed to learn from each past crisis. In vivid detail, she takes us through the arrival and spread of COVID-19, making clear the steps that governments knew they could have taken to prevent or at least prepare for this. Looking forward, MacKenzie makes a bold, optimistic argument: this pandemic might finally galvanize the world to take viruses seriously. Fighting this pandemic and preventing the next one will take political action of all kinds, globally, from governments, the scientific community, and individuals--but it is possible. No one has yet brought together our knowledge of COVID-19 in a comprehensive, informative, and accessible way. But that story can already be told, and Debora MacKenzie's urgent telling is required reading for these times and beyond. It is too early to say where the COVID-19 pandemic will go, but it is past time to talk about what went wrong and how we can do better.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
A Book

by Patil, Bhushan,Vohra, Manisha

  • Publisher : IGI Global
  • Release : 2020-10-23
  • Pages : 583
  • ISBN : 1799830543
  • Language : En, Es, Fr & De
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Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Advances in Artificial Systems for Logistics Engineering

Advances in Artificial Systems for Logistics Engineering
A Book

by Zhengbing Hu

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030804755
  • Language : En, Es, Fr & De
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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
A Book

by Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy

  • Publisher : Springer Nature
  • Release : 2020-11-13
  • Pages : 307
  • ISBN : 3030552586
  • Language : En, Es, Fr & De
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This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Intelligent Systems and Methods to Combat Covid-19

Intelligent Systems and Methods to Combat Covid-19
A Book

by Amit Joshi

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811565724
  • Language : En, Es, Fr & De
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Intelligent Data Analysis for COVID-19 Pandemic

Intelligent Data Analysis for COVID-19 Pandemic
A Book

by M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar

  • Publisher : Springer
  • Release : 2021-06-23
  • Pages : 370
  • ISBN : 9789811615733
  • Language : En, Es, Fr & De
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This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Urban Informatics and Future Cities

Urban Informatics and Future Cities
A Book

by S. C. M. Geertman

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030760596
  • Language : En, Es, Fr & De
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Data Analytics

Data Analytics
Handbook of Formulas and Techniques

by Adedeji B. Badiru

  • Publisher : CRC Press
  • Release : 2020-12-22
  • Pages : 246
  • ISBN : 1000297330
  • Language : En, Es, Fr & De
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Good data analytics is the basis for effective decisions. Whoever has the data, has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with the appropriate collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertip reach of readers. This handbook includes formulas that will appeal to mathematically inclined readers. It discusses how to use data analytics to improve decision-making and is ideal for those new to using data analytics to show how to expand their usage horizon. It provides quantitative techniques for modeling pandemics, such as COVID-19. It also adds to the suite of mathematical tools for emerging technical areas. This handbook is a handy reference for researchers, practitioners, educators, and students in areas such as industrial engineering, production engineering, project management, civil engineering, mechanical engineering, technology management, and business management worldwide.

COVID-19 Pandemic, Geospatial Information, and Community Resilience

COVID-19 Pandemic, Geospatial Information, and Community Resilience
Global Applications and Lessons

by Abbas Rajabifard,Daniel Paez,Greg Foliente

  • Publisher : CRC Press
  • Release : 2021-06-07
  • Pages : 558
  • ISBN : 1000402924
  • Language : En, Es, Fr & De
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"The Open Access version of this book, available at https://www.taylorfrancis.com/books/oa-edit/10.1201/9781003181590, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license." Geospatial information plays an important role in managing location dependent pandemic situations across different communities and domains. Geospatial information and technologies are particularly critical to strengthening urban and rural resilience, where economic, agricultural, and various social sectors all intersect. Examining the United Nations' SDGs from a geospatial lens will ensure that the challenges are addressed for all populations in different locations. This book, with worldwide contributions focused on COVID-19 pandemic, provides interdisciplinary analysis and multi-sectoral expertise on the use of geospatial information and location intelligence to support community resilience and authorities to manage pandemics.

Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach

Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach
A Book

by Fun Man Fung,Christoph Zimmermann

  • Publisher : Elsevier
  • Release : 2021-07-03
  • Pages : 212
  • ISBN : 0128230797
  • Language : En, Es, Fr & De
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Technology-Enabled Blended Learning Experiences for Chemistry Education and Outreach discusses new technologies and their potential for the advancement of chemistry education, particularly in topics that are difficult to demonstrate in traditional 2d media. The book covers the theoretical background of technologies currently in use (such as virtual and augmented reality), introducing readers to the current landscape and providing a solid foundation on how technology can be usefully integrated in both learning and teaching chemistry content. Other sections cover the implementation of technology, how to design a curriculum, and how new tactics can be applied to both outreach and evaluation efforts. Case studies supplement the information presented, providing the reader with practicable examples and applications of covered theories and technologies. Drawing on the broad experiences and unique insights of a global team of authors from a whole host of different backgrounds, the book aims to stimulate readers’ creativity and inspire them to find their own novel applications of the techniques highlighted in this volume. Provides detailed information on the theoretical background of technology usage in chemistry education, including discussions of augmented and virtual reality Helps readers understand available options and make informed decisions on how to best utilize technology to enhance their chemistry teaching using concepts surrounding blended learning Presents examples of theory in practice through case studies that detail completed implementations from around the world

Coronavirus News, Markets and AI

Coronavirus News, Markets and AI
The COVID-19 Diaries

by Pankaj Sharma

  • Publisher : Taylor & Francis
  • Release : 2020-12-24
  • Pages : 214
  • ISBN : 1000327442
  • Language : En, Es, Fr & De
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Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across ‘short term’ and ‘long term’; Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump’s policies; Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.

Data Science for COVID-19 Volume 1

Data Science for COVID-19 Volume 1
Computational Perspectives

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

  • Publisher : Academic Press
  • Release : 2021-05-27
  • Pages : 752
  • ISBN : 0128245379
  • Language : En, Es, Fr & De
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Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and 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 both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Data Analytics for Pandemics

Data Analytics for Pandemics
A COVID-19 Case Study

by Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey

  • Publisher : CRC Press
  • Release : 2020-08-30
  • Pages : 68
  • ISBN : 1000204413
  • Language : En, Es, Fr & De
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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.

Computational Modeling and Data Analysis in COVID-19 Research

Computational Modeling and Data Analysis in COVID-19 Research
A Book

by Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya

  • Publisher : CRC Press
  • Release : 2021-05-10
  • Pages : 270
  • ISBN : 1000384977
  • Language : En, Es, Fr & De
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This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.