Data Analytics for Pandemics Book

Data Analytics for Pandemics


  • Author : Gitanjali Rahul Shinde
  • Publisher : CRC Press
  • Release Date : 2020-08-30
  • Genre: Computers
  • Pages : 68
  • ISBN 10 : 9781000204414

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Data Analytics for Pandemics Excerpt :

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.

Data and Analytics Strategy for Business Book

Data and Analytics Strategy for Business


  • Author : Simon Asplen-Taylor
  • Publisher : Kogan Page Publishers
  • Release Date : 2022-06-03
  • Genre: Business & Economics
  • Pages : null
  • ISBN 10 : 9781398606067

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Data and Analytics Strategy for Business Excerpt :

For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience. Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.

Decision Intelligence For Dummies Book

Decision Intelligence For Dummies


  • Author : Pamela Baker
  • Publisher : John Wiley & Sons
  • Release Date : 2022-02-08
  • Genre: Computers
  • Pages : 323
  • ISBN 10 : 9781119824848

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Decision Intelligence For Dummies Excerpt :

Learn to use, and not be used by, data to make more insightful decisions The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether? Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible. In this timely book, you’ll learn to: Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries Find a new path to solid decisions that includes, but isn’t dominated, by quantitative data Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company Perfect for business leaders in technology and finance, Decision Intelligence For Dummies is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.

Applied Big Data Analytics and Its Role in COVID 19 Research Book

Applied Big Data Analytics and Its Role in COVID 19 Research


  • Author : Zhao, Peng
  • Publisher : IGI Global
  • Release Date : 2022-04-29
  • Genre: Computers
  • Pages : 349
  • ISBN 10 : 9781799887959

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Applied Big Data Analytics and Its Role in COVID 19 Research Excerpt :

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

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

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


  • Author : Demir, Mahmut
  • Publisher : IGI Global
  • Release Date : 2021-06-25
  • Genre: Business & Economics
  • Pages : 906
  • ISBN 10 : 9781799882336

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

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.

Big Data Analytics Book

Big Data Analytics


  • Author : Satish Narayana Srirama
  • Publisher : Springer Nature
  • Release Date : 2022-01-01
  • Genre: Computers
  • Pages : 355
  • ISBN 10 : 9783030936204

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Big Data Analytics Excerpt :

This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2021, which took place during December 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 3 short papers included in this volume were carefully reviewed and selected from 41 submissions. The contributions were organized in topical sections named as follows: medical and health applications; machine/deep learning; IoTs, sensors, and networks; fundamentation; pattern mining and data analytics.

Healthcare Analytics Book

Healthcare Analytics


  • Author : Edward M. Rafalski
  • Publisher : CRC Press
  • Release Date : 2022-08-09
  • Genre: Technology & Engineering
  • Pages : 264
  • ISBN 10 : 9781000619959

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Healthcare Analytics Excerpt :

The first COVID-19 case in the US was reported on January 20, 2020. As the first cases were being reported in the US, Washington State became a reliable source not just for hospital bed demand based on incidence and community spread but also for modeling the impact of skilled nursing facilities and assisted living facilities on hospital bed demand. Various hospital bed demand modeling efforts began in earnest across the United States in university settings, private consulting and health systems. Nationally, the University of Washington Institute of Health Metrics and Evaluation seemed to gain a footing and was adopted as a source for many states for its ability to predict the epidemiological curve by state, including the peak. This book therefore addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the pandemic. What is clear, at least from the US perspective, is that the healthcare system was unprepared and uncoordinated from an analytics perspective. Learning from this experience will only better prepare all healthcare systems and leaders for future crisis. Both prospectively, from a modeling perspective and retrospectively from a root cause analysis perspective, analytics provide clarity and help explain causation and data relationships. A more structured approach to teaching healthcare analytics to students, using the pandemic and the rich dataset that has been developed, provides a ready-made case study from which to learn and inform disaster planning and preparedness. The pandemic has strained the healthcare and public health systems. Researchers and practitioners must learn from this crisis to better prepare our processes for future pandemics, at minimum. Finally, government officials and policy makers can use this data to decide how best to assist the healthcare and public health systems in crisis.

What Can Data and Analytics Tell Us About COVID 19  Book

What Can Data and Analytics Tell Us About COVID 19


  • Author : Soraya Sedkaoui, PhD
  • Publisher : Elsevier
  • Release Date : 2021-06
  • Genre: Medical
  • Pages : 250
  • ISBN 10 : 032381056X

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What Can Data and Analytics Tell Us About COVID 19 Excerpt :

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.

Data Analytics for Coronavirus Disease  covid 19  Outbreak Book

Data Analytics for Coronavirus Disease covid 19 Outbreak


  • Author : Gitanjali Rahul Shinde
  • Publisher : Unknown
  • Release Date : 2020-08-31
  • Genre: Big data
  • Pages : 88
  • ISBN 10 : 0367558467

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Data Analytics for Coronavirus Disease covid 19 Outbreak Excerpt :

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.

Heterogeneous Data Management  Polystores  and Analytics for Healthcare Book

Heterogeneous Data Management Polystores and Analytics for Healthcare


  • Author : Vijay Gadepally
  • Publisher : Springer Nature
  • Release Date : 2021-03-03
  • Genre: Computers
  • Pages : 233
  • ISBN 10 : 9783030710552

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Heterogeneous Data Management Polystores and Analytics for Healthcare Excerpt :

This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and September 4, 2020. For Poly 2020, 4 full and 3 short papers were accepted from 10 submissions; and for DMAH 2020, 7 full and 2 short papers were accepted from a total of 15 submissions. The papers were organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.

Data Management  Analytics and Innovation Book

Data Management Analytics and Innovation


  • Author : Saptarsi Goswami
  • Publisher : Springer Nature
  • Release Date : 2022-09-21
  • Genre: Computers
  • Pages : 716
  • ISBN 10 : 9789811926006

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Data Management Analytics and Innovation Excerpt :

This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Sixth International Conference on Data Management, Analytics and Innovation (ICDMAI 2022), held virtually during January 14–16, 2022. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.

Information and Communication Technologies in Tourism 2021 Book

Information and Communication Technologies in Tourism 2021


  • Author : Wolfgang Wörndl
  • Publisher : Springer Nature
  • Release Date : 2021-01-11
  • Genre: Business & Economics
  • Pages : 581
  • ISBN 10 : 9783030657857

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Information and Communication Technologies in Tourism 2021 Excerpt :

This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world.

Assessing COVID 19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis Book

Assessing COVID 19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis


  • Author : Subhendu Kumar Pani
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Artificial intelligence
  • Pages : 416
  • ISBN 10 : 9783030797539

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Assessing COVID 19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis Excerpt :

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patients data, electronic health records (EHRs) and lifestyle. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence.

How Data Can Manage Global Health Pandemics Book

How Data Can Manage Global Health Pandemics


  • Author : Rupa Mahanti
  • Publisher : CRC Press
  • Release Date : 2022-05-16
  • Genre: Business & Economics
  • Pages : 232
  • ISBN 10 : 9781000574432

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How Data Can Manage Global Health Pandemics Excerpt :

"This book bridges the fields of health care and data to clarify how to use data to manage pandemics. Written while COVID-19 was raging, it identifies both effective practices and misfires, and is grounded in clear, research-based explanations of pandemics and data strategy....The author has written an essential book for students and professionals in both health care and data. While serving the needs of academics and experts, the book is accessible for the general reader." – Eileen Forrester, CEO of Forrester Leadership Group, Author of CMMI for Services, Guidelines for Superior Service "...Rupa Mahanti explores the connections between data and the human response to the spread of disease in her new book,... She recognizes the value of data and the kind of insight it can bring, while at the same time recognizing that using data to solve problems requires not just technology, but also leadership and courage. This is a book for people who want to better understand the role of data and people in solving human problems." -- Laura Sebastian-Coleman, Author of Meeting the Challenges of Data Quality Management In contrast to the 1918 Spanish flu pandemic which occurred in a non-digital age, the timing of the COVID-19 pandemic intersects with the digital age, characterized by the collection of large amounts of data and sophisticated technologies. Data and technology are being used to combat this digital age pandemic in ways that were not possible in the pre-digital age. Given the adverse impacts of pandemics in general and the COVID-19 pandemic in particular, it is imperative that people understand the meaning, origin of pandemics, related terms, trajectory of a new disease, butterfly effect of contagious diseases, factors governing the pandemic potential of a disease, strategies to combat a pandemic, role of data, data sharing, data strategy, data governance, analytics, and data visualization in managing pandemics, pandemic myths, critical success factors in managing pand