The Covid 19 Disaster Volume Ii Prevention And Response To Pandemics Using Artificial Intelligence

This book describes the work to be done in building an automated pandemic prevention and response capability for the US with international extensions and extendibility using artificial intelligence. The complexity of operational decisions, information sharing, situational awareness, and planned/ongoing actions by thousands of actors in pandemic prevention, preparedness and response is far too great for anyone to manage effectively. The deaths and economic devastation caused by COVID-19 yet again proved this fact, much like all other major disasters we have endured. There are too many organizations, too many differing plans and agendas, too many different people of varying experience in positions of responsibility, and too much information as well as critical need for optimal decisions and actions, to avoid calamity during the inevitable next pandemic. We need automated planning, information vetting/sharing and rapid action to optimize prevention and, if not prevented, response to minimize spread. Volume I laid out the case for a better approach than exists in the U.S. today, and our nation's military - touted as the best in the world - employs methodologies with precision and fidelity that optimize rapid decision making for human-sized enemies. It turns out these same methodologies and associated technologies work just as well with our microscopic enemies, like COVID-19. This book provides an overview of how it should be developed, implemented and evolved nationwide before the next pandemic. Seems like we finally should get our "act" together, otherwise the toll for passage of the next virus could be far higher as we remain unprepared. It will be hard and extensive work, which some have referenced the "Manhattan Project" or the Apollo Program, but the COVID-19 death count mandates we apply our best effort to prevent another pandemic disaster. We are better equipped now than ever to do so.

This book, The COVID-19 Disaster. Volume 1: The Historic Lessons Learned and Benefits of Human Collaboration, is an intentionally apolitical treatment of the many experiences at the heart of the disaster. It collects hands-on experience from government preparedness and response work, including the impact on state IT systems, the heroic healthcare workers who directly faced the consequences of the disease each day, and the medical and insurance industries' impact and response, and then builds recommendations for the solution-approach book entitled The COVID-19 Disaster Volume II: Pandemic Prevention and Response Using Artificial Intelligence.

This book describes the work to be done in building an automated pandemic prevention and response capability for the US with international extensions and extendibility using artificial intelligence. The complexity of operational decisions, information sharing, situational awareness, and planned/ongoing actions by thousands of actors in pandemic prevention, preparedness and response is far too great for anyone to manage effectively. The deaths and economic devastation caused by COVID-19 yet again proved this fact, much like all other major disasters we have endured. There are too many organizations, too many differing plans and agendas, too many different people of varying experience in positions of responsibility, and too much information as well as critical need for optimal decisions and actions, to avoid calamity during the inevitable next pandemic. We need automated planning, information vetting/sharing and rapid action to optimize prevention and, if not prevented, response to minimize spread. Volume I laid out the case for a better approach than exists in the U.S. today, and our nation's military - touted as the best in the world - employs methodologies with precision and fidelity that optimize rapid decision making for human-sized enemies. It turns out these same methodologies and associated technologies work just as well with our microscopic enemies, like COVID-19. This book provides an overview of how it should be developed, implemented and evolved nationwide before the next pandemic. Seems like we finally should get our "act" together, otherwise the toll for passage of the next virus could be far higher as we remain unprepared. It will be hard and extensive work, which some have referenced the "Manhattan Project" or the Apollo Program, but the COVID-19 death count mandates we apply our best effort to prevent another pandemic disaster. We are better equipped now than ever to do so.

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future.

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including the wide variety of impacts the virus is having on societies and medical practice Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, and insights on future pandemics

The SARS-CoV-2 virus, and the associated COVID-19 pandemic, is perhaps the greatest threat to life, and lifestyles, the world has known in more than a century. The scholarship included here provides critical insights into the institutional responses, communal consequences, cultural adaptations, and social politics that lie at the heart of this pandemic. This volume maps out the ways in which the pandemic has impacted (most often disproportionately) societies, the successes and failures of means used to combat the virus, and the considerations and future possibilities – both positive and negative – that lie ahead. While the pandemic has brought humanity together in some noteworthy ways, it has also laid bare many of the systemic inequalities that lie at the foundation of our global society. This volume is a significant step toward better understanding these impacts. The work presented here represents a remarkable diversity and quality of impassioned scholarship and is a timely and critical advance in knowledge related to the pandemic. This volume and its companion, COVID-19: Volume I: Global Pandemic, Societal Responses, Ideological Solutions, are the result of the collaboration of more than 50 of the leading social scientists from across five continents. The breadth and depth of the scholarship is matched only by the intellectual and global scope of the contributors themselves. The insights presented here have much to offer not just to an understanding of the ongoing world of COVID-19, but also to helping us (re-) build, and better shape, the world beyond.

This book examines how the wonders of AI have contributed to the battle against COVID-19. Just as history repeats itself, so do epidemics and pandemics. In the face of the novel coronavirus disease, COVID-19, the book explores whether, in this digital era where artificial intelligence is successfully applied in all areas of industry, we are doing any better than our ancestors did in dealing with pandemics. One of the most contagious diseases ever known, COVID-19 is spreading like wildfire around and has cost thousands of human lives. The book discusses how AI can help fight this deadly virus, from early warnings, prompt emergency responses, and critical decision-making to surveillance drones. Serving as a technical reference resource, data analytic tutorial and a chronicle of the application of AI in epidemics, this book will appeal to academics, students, data scientists, medical practitioners, and anybody who is concerned about this global epidemic.