Epidemic Analytics For Decision Supports In Covid19 Crisis
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Epidemic Analytics for Decision Supports in COVID19 Crisis by Joao Alexandre Lobo Marques,Simon James Fong Pdf
Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.
Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques,Francisco Nauber Bernardo Gois,José Xavier-Neto,Simon James Fong Pdf
COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques,Francisco Nauber Bernardo Gois,José Xavier-Neto,Simon James Fong Pdf
COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
Computerized Systems for Diagnosis and Treatment of COVID-19 by Joao Alexandre Lobo Marques,Simon James Fong Pdf
This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.
Data Analytics for Pandemics by Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey Pdf
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 Science Advancements in Pandemic and Outbreak Management by Asimakopoulou, Eleana,Bessis, Nik Pdf
Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
Nations and businesses across the globe have been working through the difficulties of dealing with the COVID-19 pandemic. Industry, academia, NGOs, and governments have been "feverishly" searching for ways to address this deadly virus, which may continue to spread for at least the next year and perhaps beyond (in terms of a resurgence and different strains). From a business standpoint, there have been dramatic effects on logistics and supply chains, economic downfalls, bailouts of major industries and small businesses, and far-reaching calamities from around the world. Even though the COVID-19 story is still in its making, this book focuses on the business of pandemics as applied to COVID-19. The book brings together a global panel of experts across industries and NGOs to help guide business executives and managers through the complex array of issues affecting business in the time of a pandemic. Offering solutions to the business of pandemics as applied to COVID-19, the book is written for organizational decision makers and leaders, as well as those involved in crisis management, public health, and related fields. Its chapters focus on key areas that relate to the business of pandemics, including Lessons learned to date Big data and simulation Logistics and supply-chain management challenges Conducting global business virtually Global economic impact Media and risk communication IT infrastructure and networking Social impact Online learning and educational innovations The new work-from-home environment Re-opening markets and businesses Crisis decision making using analytics and intuition With chapters authored by experts from leading organizations, including the World Health Organization, the RAND Corporation, and various universities throughout the world, The Business of Pandemics: The COVID-19 Story provides high-level guidance and insight for business leaders who must deal with the complexities and challenges presented by this unprecedented crisis.
How Data Can Manage Global Health Pandemics by Rupa Mahanti Pdf
"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).
5th World Congress on Disaster Management: Volume III by S. Ananda Babu Pdf
World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers, practitioners all around the world despite the prevalence of pandemic.
Decision Sciences for COVID-19 by Said Ali Hassan,Ali Wagdy Mohamed,Khalid Abdulaziz Alnowibet Pdf
This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management by Uchitha Jayawickrama,Pavlos Delias,María Teresa Escobar,Jason Papathanasiou Pdf
This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021. The conference was planned to take place in Loughborough, UK, and changed to an online format due to the COVID-19 pandemic. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems’ technologies and methods.
Pandemic Communication and Resilience by David M. Berube Pdf
This book examines how we design and deliver health communication messages relating to outbreaks, epidemics, and pandemics. We have experienced major changes to how the public receives and searches for information about health crises over the last twelve decades with the ongoing shift from text/broadcast-based to digital messaging and social media. Both health theories and practices are examined as it applies to testing, tracking, hoarding, therapeutics, and vaccines with case studies. Challenges to communicate about health to diverse audiences (including the science illiterate) and across (both Western and developing economies) have been complicated by politics, norms and mores, personal heuristics, and biases, such as mortality salience, news avoidance, and quarantine fatigue. Issues of economic development and land use, trade and transportation, and even climate change have increased the exposure of human populations to infectious diseases making risk and resilience more pressing. The book has been designed to support health communicators and public health management professionals, students, and interested stakeholders and university libraries.
EURO Working Group on DSS by Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Sousa Pdf
This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).
Pandemics, Politics, and Society by Gerard Delanty Pdf
This volume is an important contribution to our understanding of global pandemics in general and Covid-19 in particular. It brings together the reflections of leading social and political scientists who are interested in the implications and significance of the current crisis for politics and society. The chapters provide both analysis of the social and political dimensions of the Coronavirus pandemic and historical contextualization as well as perspectives beyond the crisis. The volume seeks to focus on Covid-19 not simply as the terrain of epidemiology or public health, but as raising fundamental questions about the nature of social, economic and political processes. The problems of contemporary societies have become intensified as a result of the pandemic. Understanding the pandemic is as much a sociological question as it is a biological one, since viral infections are transmitted through social interaction. In many ways, the pandemic poses fundamental existential as well as political questions about social life as well as exposing many of the inequalities in contemporary societies. As the chapters in this volume show, epidemiological issues and sociological problems are elucidated in many ways around the themes of power, politics, security, suffering, equality and justice. This is a cutting edge and accessible volume on the Covid-19 pandemic with chapters on topics such as the nature and limits of expertise, democratization, emergency government, digitalization, social justice, globalization, capitalist crisis, and the ecological crisis. Contents Notes on Contributors Preface Gerard Delanty 1. Introduction: The Pandemic in Historical and Global Context Part 1 Politics, Experts and the State Claus Offe 2. Corona Pandemic Policy: Exploratory Notes on its ‘Epistemic Regime’ Stephen Turner 3. The Naked State: What the Breakdown of Normality Reveals Jan Zielonka 4. Who Should be in Charge of Pandemics? Scientists or Politicians? Jonathan White 5. Emergency Europe after Covid-19 Daniel Innerarity 6. Political Decision-Making in a Pandemic Part 2 Globalization, History and the Future Helga Nowotny 7. In AI We Trust: How the COVID-19 Pandemic Pushes us Deeper into Digitalization Eva Horn 8. Tipping Points: The Anthropocene and COVID-19 Bryan S. Turner 9. The Political Theology of Covid-19: a Comparative History of Human Responses to Catastrophes Daniel Chernilo 10. Another Globalisation: Covid-19 and the Cosmopolitan Imagination Frédéric Vandenberghe & Jean-Francois Véran 11. The Pandemic as a Global Total Social Fact Part 3 The Social and Alternatives Sylvia Walby 12. Social Theory and COVID: Including Social Democracy Donatella della Porta 13. Progressive Social Movements, Democracy and the Pandemic Sonja Avlijaš 14. Security for Whom? Inequality and Human Dignity in Times of the Pandemic Albena Azmanova 15. Battlegrounds of Justice: The Pandemic and What Really Grieves the 99% Index
Social Analysis and the COVID-19 Crisis by Suman Gupta,Richard Allen,Maitrayee Basu,Fabio Akcelrud Durão,Ayan-Yue Gupta,Milena Katsarska,Sebastian Schuller,John Seed,Peter H. Tu Pdf
This book is a collective journal of the COVID-19 pandemic. With first-hand accounts of the pandemic as it unfolded, it explores the social and the political through the lens of the outbreak. Featuring contributors located in India, the United States, Brazil, the United Kingdom, Germany, and Bulgaria, the book presents us with simultaneous multiple histories of our time. The volume documents the beginning of social distancing and lockdown measures adopted by countries around the world and analyses how these bore upon prevailing social conditions in specific locations. It presents the authors’ personal observations in a lucid conversational style as they reflect on themes such as the reorganization of political debates and issues, the experience of the marginalized, theodicy, government policy responses, and shifts into digital space under lockdown, all of these under an overarching narrative of the healthcare and economic crisis facing the world. A unique and engaging contribution, this book will be useful to students and researchers of sociology, public health, political economy, public policy, and comparative politics. It will also appeal to general readers interested in pandemic literature.
