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

  • Formaat: 202 pages
  • Sari: HIMSS Book Series
  • Ilmumisaeg: 08-May-2022
  • Kirjastus: Productivity Press
  • Keel: eng
  • ISBN-13: 9781000574418
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  • Formaat: 202 pages
  • Sari: HIMSS Book Series
  • Ilmumisaeg: 08-May-2022
  • Kirjastus: Productivity Press
  • Keel: eng
  • ISBN-13: 9781000574418
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"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).

Arvustused

"In my opinion, the great value of this very timely book is the authors ability to analyze and explain in detail the role data and information, critical success factors, leadership, and strategy have played in the COVID-19 pandemic. Moreover, the author has done this in a very careful and honest way. I also appreciate the clear and direct writing style that makes the books themes and conclusions easily understood by all readers from scientists, medical professional, and policy makers to the public."

- From the foreword by Dr. John R. Talburt Acxiom Chair of Information Quality at the University of Arkansas at Little Rock, and Lead Consultant for Data Quality Management and Data Governance with Noetic Partners.

"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. Rupa Mahanti includes a cogent summary of use cases for data analytics specific to COVID-19 that will be useful in future pandemics. She also explicates crucial instances of effective visualization of data to aid the publics understanding during a pandemic. 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

"For those of us that care about the quality of data and the ethical use of data, the COVID-19 pandemic has raised as many questions as it has answered. In contrast to our capability to respond to the 1918 influenza, when the medical profession was in its infancy and data collection about health conditions was limited, in 2020, we were rich in information and tools to combat a global pandemic. We had a better understanding of how diseases emerge and spread. And we had an incredible apparatus for collecting the data we needed to understand what was happening. Yet human factors still got in the way of the response and millions died. Rupa Mahanti explores the connections between data and the human response to the spread of disease in her new book, How Data Can Manage Global Health Pandemics: Analysing and Understanding COVID-19. 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.

"It is great to see this book tackling the current pandemic from the data-driven perspective. As the world becomes ever more interconnected, we increase the likely spread of future pandemics, but we also improve our ability to understand, track, prevent, and mitigate their impacts. This book starts out by setting a basic foundational understanding of pandemics like COVID-19 in both the real world and the data we have available to model and understand all aspects of the pandemic. Not stopping there, it then covers the critical discussions that we all need to understand in order to better leverage data, analytics, and machine learning to improve our ability to prevent future pandemics, learn as much as we can about them, and use all available resources to create a safer world for us all to live in."

-Don Jenkins, MIrah Chief Operating Officer and Data Science Evangelist

"Dr. W. Edwards Deming once said, "In God we trust, all others bring data." Good decisions are always data driven and the author does a great job of reminding us of the advantages we have for managing global pandemics with special reference to the world-wide COVID 19 pandemic as a result of the wide availability of digital data."

-Christianna Hayes, COO VEREO / iMpact Utah

"This book embarks on an ambitious journey of showing how data and analytics can help understand and better manage pandemics in the digital age. The lessons learned not just from the current pandemic but from the analytical processes, applied to enable effective decision making at every step in a dynamic and ever evolving global ecosystem, enables decision makers with tools for the future. Dr. Mahanti expertly guides and enlightens the reader using the Covid-19 pandemic along with historical precedence to provide meaningful guidance in how data and analytics might better serve as a formidable defence in bringing future pandemics under control."

-Clint D'Souza - CEO & Director - CDZM Consulting

"This work is a welcome deep-dive into the potential for digital data to transform not only the ways we work and live, and also how we address world-wide disease propagation.

The book carefully traces the long, long history of pandemics and their origins. And in parallel shows us how new (digital) knowledge could better arm us going forward, if only we had the will and the open-mindedness.

The author is a "data person," so her perspective is especially hopeful in these confusing and troublesome times. She shows clearly what has been achieved and what remains.

I commend this work to you as a compelling example of the application of much of what we already know to an important and continuing world-wide health situation."

-Dr Stan Rifkin, Master Systems Inc.

"COVID-19 has strained our society in unexpected and disruptive ways. The management and analytics of data are no exception. Rupa Mahanti does a masterful job of presenting use cases and the relevant insights gained from COVID-19 data. The lessons in this book will be valuable far past COVID-19 as they are applicable for any infectious outbreak."

Dr. David P. Marco, President, EWSolutions & Best-Selling Data Management Author

"This book's achievements are two-fold. First, it offers an excellent introduction to the disciplines of data management and analytics and their importance in the modern world. It then overlays this understanding with a detailed analysis of the critical role that data has played in that most contemporary of challenges, the Covid-19 pandemic. Employing a wealth of evidence, Mahanti examines a fascinating array of use cases including Taiwans success in handing the crisis using advanced analytics, the role of data played in the development of vaccines and the direct impact of mis-information on the welfare of thousands of citizens worldwide. A highly recommended read."

Guy Bradshaw, Consulting Director, Comma Group "In my opinion, the great value of this very timely book is the authors ability to analyse and explain in detail the role data and information, critical success factors, leadership, and strategy have played in the COVID-19 pandemic. Moreover, the author has done this in a very careful and honest way. I also appreciate the clear and direct writing style that makes the books themes and conclusions easily understood by all readers from scientists, medical professional, and policy makers to the public."

From the foreword by Dr. John R. Talburt, PhD, IQCP, CDMP, Acxiom Chair of Information Quality at the University of Arkansas at Little Rock, and Lead Consultant for Data Quality Management and Data Governance with Noetic Partners.

"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. Rupa Mahanti includes a cogent summary of use cases for data analytics specific to COVID-19 that will be useful in future pandemics. She also explicates crucial instances of effective visualization of data to aid the publics understanding during a pandemic. 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

"For those of us that care about the quality of data and the ethical use of data, the COVID-19 pandemic has raised as many questions as it has answered. In contrast to our capability to respond to the 1918 influenza, when the medical profession was in its infancy and data collection about health conditions was limited, in 2020, we were rich in information and tools to combat a global pandemic. We had a better understanding of how diseases emerge and spread. And we had an incredible apparatus for collecting the data we needed to understand what was happening. Yet human factors still got in the way of the response and millions died. Rupa Mahanti explores the connections between data and the human response to the spread of disease in her new book, How Data Can Manage Global Health Pandemics: Analysing and Understanding COVID-19. 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

"It is great to see this book tackling the current pandemic from the data-driven perspective. As the world becomes ever more interconnected, we increase the likely spread of future pandemics, but we also improve our ability to understand, track, prevent, and mitigate their impacts. This book starts out by setting a basic foundational understanding of pandemics like COVID-19 in both the real world and the data we have available to model and understand all aspects of the pandemic. Not stopping there, it then covers the critical discussions that we all need to understand in order to better leverage data, analytics, and machine learning to improve our ability to prevent future pandemics, learn as much as we can about them, and use all available resources to create a safer world for us all to live in."

Don Jenkins, MIrah Chief Operating Officer and Data Science, Evangelist

"Dr. W. Edwards Deming once said, "In God we trust, all others bring data." Good decisions are always data driven and the author does a great job of reminding us of the advantages we have for managing global pandemics with special reference to the world-wide COVID 19 pandemic as a result of the wide availability of digital data."

-Christianna Hayes, COO, VEREO/ iMpact, Utah

"This book embarks on an ambitious journey of showing how data and analytics can help understand and better manage pandemics in the digital age. The lessons learned not just from the current pandemic but from the analytical processes, applied to enable effective decision making at every step in a dynamic and ever evolving global ecosystem, enables decision makers with tools for the future. Dr. Mahanti expertly guides and enlightens the reader using the Covid-19 pandemic along with historical precedence to provide meaningful guidance in how data and analytics might better serve as a formidable defence in bringing future pandemics under control."

Clint D'Souza, CEO & Director, CDZM Consulting

"This work is a welcome deep-dive into the potential for digital data to transform not only the ways we work and live, and also how we address world-wide disease propagation. The book carefully traces the long, long history of pandemics and their origins. And in parallel shows us how new (digital) knowledge could better arm us going forward, if only we had the will and the open-mindedness. The author is a "data person," so her perspective is especially hopeful in these confusing and troublesome times. She shows clearly what has been achieved and what remains.

I commend this work to you as a compelling example of the application of much of what we already know to an important and continuing world-wide health situation."

Dr Stan Rifkin, Master Systems Inc.

"COVID-19 has strained our society in unexpected and disruptive ways. The management and analytics of data are no exception. Rupa Mahanti does a masterful job of presenting use cases and the relevant insights gained from COVID-19 data. The lessons in this book will be valuable far past COVID-19 as they are applicable for any infectious outbreak."

Dr. David P. Marco, President, EWSolutions & Best-Selling Data Management Author

"This book's achievements are two-fold. First, it offers an excellent introduction to the disciplines of data management and analytics and their importance in the modern world. It then overlays this understanding with a detailed analysis of the critical role that data has played in that most contemporary of challenges, the Covid-19 pandemic. Employing a wealth of evidence, Mahanti examines a fascinating array of use cases including Taiwans success in handing the crisis using advanced analytics, the role of data played in the development of vaccines and the direct impact of mis-information on the welfare of thousands of citizens worldwide. A highly recommended read."

Guy Bradshaw, Consulting Director, Comma Group

List of Figures
xi
List of Tables
xiii
Foreword xv
Preface xvii
Acknowledgments xxi
About the Author xxiii
1 Pandemic--An Introduction
1(16)
Introduction
1(1)
What Is a Pandemic?
2(1)
Pandemic--Definitions
2(1)
Characteristics of Pandemics
3(1)
Large Geographic Spread
3(1)
Person-to-Person Spread
4(1)
High Transmission Rates and Explosiveness
4(1)
Novelty
4(1)
Minimal Population Immunity
4(1)
Infectiousness
5(1)
Severity
5(1)
Origin of Pandemic
5(3)
Notable Pandemics in History
8(3)
Pandemics, COVID-19, Technology, Data, and Analytics in the 21st Century
11(2)
Concluding Thoughts
13(1)
References
13(4)
2 Data--Management, Strategy, Quality, Governance, and Analytics
17(14)
Delving into the Definition of Data
18(1)
Varieties of Data
18(1)
Structured Data
18(1)
Unstructured Data
19(1)
Semi-Structured Data
19(1)
Big Data versus Traditional Data
19(1)
Volume
19(1)
Velocity
19(1)
Variety
20(1)
Organization of Data
20(1)
Data Management
21(1)
Data Strategy
21(1)
Data Quality
22(1)
Data Quality Dimensions
23(2)
Data Quality Management
25(1)
Data Governance
25(1)
Data Analytics
26(1)
Descriptive Analytics
26(1)
Diagnostic Analytics
26(1)
Predictive Analytics
26(2)
Prescriptive Analytics
28(1)
Concluding Thoughts
29(1)
References
29(2)
3 Trajectory and Stages of a New Disease
31(24)
Introduction
31(1)
New Disease Trajectory--From Darkness to Light
32(1)
Contagious Disease and Butterfly Effect
33(1)
Contact Tracing and Disease Transmission
33(2)
Epidemic, Pandemic, Outbreak, and Endemic
35(2)
Index Case, Primary Case, Secondary Case, Patient Zero, and Super Spreaders
37(1)
Index Case
37(1)
Primary Case
38(1)
Secondary Case
38(1)
Patient Zero
38(2)
Super Spreaders
40(1)
Epidemiological Parameters
41(4)
Stages of a Disease and Pandemic Status
45(1)
Disease Stages as Defined by Centers for Disease Control and Prevention
46(1)
Disease Stages as Defined by WHO
47(1)
Stages of Spread of a Pandemic as Defined by Yigitcanlar et al. (2020), Bharat (2020)
48(1)
Flattening the Curve
49(2)
Concluding Thoughts
51(1)
References
51(4)
4 COVID-19--A Pandemic in the Digital Age
55(12)
Introduction
55(1)
COVID-19 Pandemic Predictions
56(1)
Coronaviruses
57(2)
What Is COVID-19?
59(1)
Who Was Patient Zero in COVID-19?
60(1)
COVID-19--From a Localized Outbreak into a Global Pandemic
60(1)
COVID-19 Features
60(1)
Spread and Impact of COVID-19--What Does the Data Say
60(3)
Concluding Thoughts
63(1)
References
63(4)
5 Data and Pandemic in the Digital World
67(24)
Data, Technology, Digital World, and Pandemic
67(1)
Types of Data from a Pandemic Analytics Perspective
68(1)
Role of Data in Pandemic
69(1)
Big Data Sources and Pandemic Management
70(1)
Use of External Data and Data Sharing in a Pandemic
71(1)
Data Challenges in a Pandemic--COVID-19 as an Example
72(1)
Data Collection
72(2)
Misinformation
74(3)
Data Quality
77(3)
Data Definition and Metadata
80(1)
Data Security, Data Protection, and Data Privacy
81(3)
Concluding Thoughts
84(2)
References
86(5)
6 Data Analytics and Pandemic
91(24)
Pandemics and Data Analytics
91(2)
Data Analytics Use Cases in the Pandemic
93(2)
Predicting Virus Spread
95(1)
Medical Imaging
95(1)
New Drug Development
95(1)
Modeling Infection Severity
96(1)
Combating Misleading Information
96(1)
Vaccine Development, Management, and Distribution
97(3)
Pandemics, Analytics, and Retail
100(1)
Pandemics, Analytics, and Finance
100(1)
COVID-19--Examples of Data Analytics Application in Different Industry Sectors
101(1)
Data Visualization and Its Role in a Pandemic
102(8)
Concluding Thoughts
110(2)
References
112(3)
7 Disease and Pandemic Potential
115(8)
Pathogens and Pandemic Potential
116(2)
Factors Determining Pandemic Potential
118(2)
Concluding Thoughts
120(1)
References
120(3)
8 Pandemic and Critical Success Factors
123(14)
An Introduction to Pandemic Myths and Critical Success Factors
123(1)
Pandemic Myths
123(1)
Myth 1 Pandemics Are Public Health Problem Only
124(1)
Myth 2 Pandemics Are Extremely Rare and Have Short-Term Impacts
124(1)
Myth 3 Doctors Are Aware of All the Infectious Diseases
125(1)
Myth 4 Infrastructure, Resources, and Capacity Are There to Detect and Effectively Respond to Pandemics
125(1)
Myth 5 Disease Emergence Is Unavoidable, and No One Can Do Anything About It
125(1)
Critical Success Factors to Manage a Pandemic
126(1)
Government and Leadership
127(1)
Capacity to Trace, Test, and Treat
128(1)
Education and Training
129(1)
Pandemic Preparedness and Strategies
130(1)
Communication
131(1)
Technology and Data
131(1)
Collaboration, Coordination, and Global Solidarity
132(1)
Concluding Thoughts
133(1)
References
134(3)
9 Pandemic Preparedness and Strategies
137(12)
Preparing for a Pandemic
138(2)
Pandemic and Strategies
140(4)
Data Strategy and the Pandemic
144(1)
Concluding Thoughts
145(1)
References
146(3)
10 Pandemic--Lessons Learned and Future Ahead
149(18)
Introduction
149(1)
Lessons from Past Pandemics--With Special Reference to 1918 Spanish Flu
150(1)
COVID-19 Pandemic--Specific Lessons
151(10)
1 Save Nature
152(1)
2 Government and Leadership Lessons
153(1)
3 Transparency, Effective Governance, and Timely Release of Relevant Information
154(2)
4 Non-Pharmaceutical Interventions and Pharmaceutical Precautions
156(1)
5 Robust Health Surveillance System
157(1)
6 Testing Responsiveness and Resilience of Health Systems and Action Plan to Balloon Healthcare Infrastructure
157(2)
7 Funding Research and Development (R&D)
159(1)
8 Opportunities to Use Novel Approaches and Technologies
159(1)
9 Leverage Data
160(1)
10 Communication and Collaboration
160(1)
Concluding Thoughts
161(1)
References
162(5)
Appendix A Abbreviations and Acronyms 167(2)
Appendix B Glossary of Terms 169(1)
References 170(1)
Index 171
Rupa Mahanti is a Business and Information Management consultant with extensive and diversified consulting experience in different solution environments, industry sectors, and geographies (United States, United Kingdom, India, and Australia). She has expertise in different information management disciplines, business process improvement, regulatory reporting, and more. Her research interests include quality management, information management, software engineering, empirical study, environmental management, simulation and modeling and more. With a work experience that spans industry, academics, and research, Rupa has guided a doctoral dissertation, published a large number of research articles, and is the author of the booksData Quality, Data Governance and Compliance, Data Governance and Data Management, Data Governance Success, Data Humour, and Thoughts. She is an Associate Editor with the journal Software Quality Professional and a reviewer for several international journals.