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

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Data Analytics for Pandemics


Data Analytics for Pandemics
  • Author : Gitanjali Rahul Shinde
  • Publisher : CRC Press
  • Release : 2020-08-30
  • ISBN : 9781000204414
  • 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.

Heterogeneous Data Management Polystores and Analytics for Healthcare


Heterogeneous Data Management  Polystores  and Analytics for Healthcare
  • Author : Vijay Gadepally
  • Publisher : Springer Nature
  • Release :
  • ISBN : 9783030710552
  • Language : En, Es, Fr & De
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Information and Communication Technologies in Tourism 2021


Information and Communication Technologies in Tourism 2021
  • Author : Wolfgang Wörndl
  • Publisher : Springer Nature
  • Release :
  • ISBN : 9783030657857
  • 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
  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Release :
  • ISBN : 9783030633073
  • Language : En, Es, Fr & De
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Computational Modeling and Data Analysis in COVID 19 Research


Computational Modeling and Data Analysis in COVID 19 Research
  • Author : Chhabi Rani Panigrahi
  • Publisher : CRC Press
  • Release : 2021-05-10
  • ISBN : 9781000384970
  • 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.