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The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.
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 contributed volume investigates several mathematical techniques for the modeling and simulation of viral pandemics, with a special focus on COVID-19. Modeling a pandemic requires an interdisciplinary approach with other fields such as epidemiology, virology, immunology, and biology in general. Spatial dynamics and interactions are also important features to be considered, and a multiscale framework is needed at the level of individuals and the level of virus particles and the immune system. Chapters in this volume address these items, as well as offer perspectives for the future.
This curated collection of scientific papers on the origin and global spread of COVID-19 is a unique project that offers explanations at odds with mainstream views as the theme mainly focuses on Panspermia (viruses, microorganisms and their spores, and cometary arrival of even more complex cellular organisms).No other scientific group has paid attention to the temporal unfolding scientific order at the many required levels of understanding — astrobiological and astrophysical, geographical and the temporal order of global proportions, yet regional epidemics, the immunologic dimensions to the infection and epidemic data, the genetics of the SARS-CoV-2 virus as it adapted, varied and appeared in different human populations in the crucial first few months of the pandemic. This in-depth analysis, over a two-year period, allows a better understanding of what engulfed the world during the COVID-19 pandemic, how it happened and the most plausible way.There are many lessons for future generations that can be distilled from the contributions found in this book.
Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. - Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies - Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data - Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing
Religious wars, global terrorism, pandemics, and genocide have all helped to usher in the Anxiety Age. Who better to lead the way out than popular psychic Sylvia Browne? In End of Days, Browne tackles the most daunting of subjects with her trademark clarity, wisdom, and serenity, answering such difficult questions as: What's coming in the next fifty years? What do the great prophecies of Nostradamus and the Book of Revelation mean? If the world is really going to end, what will unfold in our final hours? For anyone who's ever wondered where we're headed, and what—if anything—we can do to prevent a catastrophe of biblical proportions, End of Days is a riveting and insightful must-read.
A Wall Street Journal and National Bestseller! The man who predicted the worst economic crisis in US history shows you how to survive it. The current crisis is not like 2008 or even 1929. The New Depression that has emerged from the COVID pandemic is the worst economic crisis in U.S. history. Most fired employees will remain redundant. Bankruptcies will be common, and banks will buckle under the weight of bad debts. Deflation, debt, and demography will wreck any chance of recovery, and social disorder will follow closely on the heels of market chaos. The happy talk from Wall Street and the White House is an illusion. The worst is yet to come. But for knowledgeable investors, all hope is not lost. In The New Great Depression, James Rickards, New York Times bestselling author of Aftermath and The New Case for Gold, pulls back the curtain to reveal the true risks to our financial system and what savvy investors can do to survive -- even prosper -- during a time of unrivaled turbulence. Drawing on historical case studies, monetary theory, and behind-the-scenes access to the halls of power, Rickards shines a clarifying light on the events taking place, so investors understand what's really happening and what they can do about it. A must-read for any fans of Rickards and for investors everywhere who want to understand how to preserve their wealth during the worst economic crisis in US history.
This guidance is an update of WHO global influenza preparedness plan: the role of WHO and recommendations for national measures before and during pandemics, published March 2005 (WHO/CDS/CSR/GIP/2005.5).
COVID-19 Global Lessons Learned is a collection of 6 interactive case studies, 6-10-page each, that is designed for online or classroom discussion or as graded assignments. The case studies include links to websites and videos, discussion and interactive questions, plus a full package of instructor resources including a helpful instructor’s guide with sample answers to discussion questions, and a test bank. The 6 Interactive Case Studies include: 1. Clinical course of COVID-19 2. Epidemiology of COVID-19 3. Testing for COVID-19 4. Population Prevention and COVID-19 5. Treatment of COVID-19 6 Health Policy and Communications for COVID-19 Available at no additional cost (excluding Inclusive Access) when bundled with a Jones & Bartlett Learning text, these case studies are designed to be used in a wide range of courses.