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How Data Can Manage Global Health Pandemics : Analyzing and Understanding COVID-19

Publisher	Milton : Productivity Press
Year	2022
Authors	*Mahanti, Rupa author

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Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00190640		Taylor & Francis eBooks (電子ブック)	1000574415
Links to the text	Library Off-campus access			OB00190641		Taylor & Francis eBooks (電子ブック)	1000574415

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Material Type	E-Book
Media type	機械可読データファイル
Size	1 online resource (203 p.)
Notes	Description based upon print version of record Modeling Infection Severity Cover -- Title -- Copyright -- Dedication -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- About the Author -- 1 Pandemic-An Introduction -- Introduction -- What Is a Pandemic? -- Pandemic-Definitions -- Characteristics of Pandemics -- Large Geographic Spread -- Person-to-Person Spread -- High Transmission Rates and Explosiveness -- Novelty -- Minimal Population Immunity -- Infectiousness -- Severity -- Origin of Pandemic -- Notable Pandemics in History -- Pandemics, COVID-19, Technology, Data, and Analytics in the 21st Century Concluding Thoughts -- References -- 2 Data-Management, Strategy, Quality, Governance, and Analytics -- Delving into the Definition of Data -- Varieties of Data -- Structured Data -- Unstructured Data -- Semi-Structured Data -- Big Data versus Traditional Data -- Volume -- Velocity -- Variety -- Organization of Data -- Data Management -- Data Strategy -- Data Quality -- Data Quality Dimensions -- Data Quality Management -- Data Governance -- Data Analytics -- Descriptive Analytics -- Diagnostic Analytics -- Predictive Analytics -- Prescriptive Analytics -- Concluding Thoughts -- References 3 Trajectory and Stages of a New Disease -- Introduction -- New Disease Trajectory-From Darkness to Light -- Contagious Disease and Butterfly Effect -- Contact Tracing and Disease Transmission -- Epidemic, Pandemic, Outbreak, and Endemic -- Index Case, Primary Case, Secondary Case, Patient Zero, and Super Spreaders -- Index Case -- Primary Case -- Secondary Case -- Patient Zero -- Super Spreaders -- Epidemiological Parameters -- Stages of a Disease and Pandemic Status -- Disease Stages as Defined by Centers for Disease Control and Prevention -- Disease Stages as Defined by WHO Stages of Spread of a Pandemic as Defined by Yigitcanlar et al. (2020), Bharat (2020) -- Flattening the Curve -- Concluding Thoughts -- References -- 4 COVID-19-A Pandemic in the Digital Age -- Introduction -- COVID-19 Pandemic Predictions -- Coronaviruses -- What Is COVID-19? -- Who Was Patient Zero in COVID-19? -- COVID-19-From a Localized Outbreak into a Global Pandemic -- COVID-19 Features -- Spread and Impact of COVID-19-What Does the Data Say -- Concluding Thoughts -- References -- 5 Data and Pandemic in the Digital World -- Data, Technology, Digital World, and Pandemic Types of Data from a Pandemic Analytics Perspective -- Role of Data in Pandemic -- Big Data Sources and Pandemic Management -- Use of External Data and Data Sharing in a Pandemic -- Data Challenges in a Pandemic-COVID-19 as an Example -- Data Collection -- Misinformation -- Data Quality -- Data Definition and Metadata -- Data Security, Data Protection, and Data Privacy -- Concluding Thoughts -- References -- 6 Data Analytics and Pandemic -- Pandemics and Data Analytics -- Data Analytics Use Cases in the Pandemic -- Predicting Virus Spread -- Medical Imaging -- New Drug Development "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 pandemics, and lessons learned. How Data Can Manage Global Health Pandemics: Analyzing and Understanding COVID-19 discusses these elements with special reference to COVID-19. Dr. Rupa Mahanti is a business and data consultant and has expertise in different data management disciplines, business process improvement, regulatory reporting, quality management, and more. She is the author of Data Quality (ASQ Quality Press) and the series Data Governance: The Way Forward (Springer) OCLC-licensed vendor bibliographic record HTTP:URL=https://www.taylorfrancis.com/books/9781003270911 Nonpub. note=WlCaUW Information=Taylor & Francis HTTP:URL=https://www.taylorfrancis.com/books/9781003270911 Information=Taylor & Francis
Subjects	LCSH:Epidemiology -- Statistical methods All Subject Search LCSH:Epidemiology -- Data processing All Subject Search LCSH:COVID-19 (Disease) -- Statistical methods All Subject Search LCSH:COVID-19 (Disease) -- Data processing All Subject Search FREE:BUSINESS & ECONOMICS / Management
Classification	LCC:RA652.2.M3 DC23:614.40727
ID	8000089806
ISBN	1000574415