Global Spread and Prediction of COVID-19 Pandemic PDF Download

Author: Jianping Huang
Publisher: Frontiers Media SA
ISBN: 2832545858
Category : Medical
Languages : en
Pages : 266

View

Book Description

Author: K.C. Santosh
Publisher: Springer Nature
ISBN: 9811596824
Category : Technology & Engineering
Languages : en
Pages : 137

View

Book Description
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.

Author: Praveen Kumar Khosla
Publisher: Springer Nature
ISBN: 9813342366
Category : Technology & Engineering
Languages : en
Pages : 335

View

Book Description
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.

Author: Nicola Bellomo
Publisher: Springer Nature
ISBN: 3030965627
Category : Mathematics
Languages : en
Pages : 314

View

Book Description
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.

Author: Nalin Chandra Wickramasinghe
Publisher: World Scientific
ISBN: 9811259097
Category : Medical
Languages : en
Pages : 302

View

Book Description
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.

Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9813362642
Category : Technology & Engineering
Languages : en
Pages : 366

View

Book Description
This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic.

Author: Rajeev Varshney
Publisher: Springer Nature
ISBN: 9819932017
Category : Medical
Languages : en
Pages : 202

View

Book Description
The book covers all aspects of future preparedness for COVID-19 pandemic-like situations as the COVID-19 pandemic commences at its endemic stage. Pandemics and large-scale outbreaks impact public health to a greater extent, causing the loss of millions of lives and financial loss to businesses which eventually lead to unemployment and economic crises. This book covers all lessons learned from past pandemics, including their spread, virulence, long-term health effects, etc. It includes a chapter focusing on the actions that need to be taken to deal with similar situations in the future. The book mainly comprehends on identification and fulfilment of gaps in pandemic preparedness, the development of an effective early warning system, the strengthening of existing strategies as well as the need for the implementation of new global policies to mitigate future pandemics. It focuses on the role of omics approaches to understand and explore the newer and faster mechanisms for prevention, detection, and response to emerging biological infections. It also covers the psychological impact due to pandemic and its solution. The book has a broad scientific impact and shall be helpful specifically for academicians/ students having an interest in microbiology, virology, and immunology fields. It is aligned with SDG 3, "Good Health and Well-being".

Author: Le Gruenwald
Publisher: Academic Press
ISBN: 032390002X
Category : Science
Languages : en
Pages : 320

View

Book Description
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

Author: Sylvia Browne
Publisher: Penguin
ISBN: 1440631417
Category : Body, Mind & Spirit
Languages : en
Pages : 296

View

Book Description
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.

Author: Debora MacKenzie
Publisher: Hachette Books
ISBN: 0306924234
Category : Science
Languages : en
Pages : 300

View

Book Description
"MacKenzie's fascinating book gives us the scope and scale to be able to put this pandemic in perspective and, it begs the question, will we learn from this in time to prevent to next one?" —Molly Caldwell Crosby, Bestselling author of The American Plague In a gripping, accessible narrative, a veteran science journalist lays out the shocking story of how the COVID-19 coronavirus pandemic happened and how to make sure this never happens again Over the last 30 years of epidemics and pandemics, we learned nearly every lesson needed to stop this coronavirus outbreak in its tracks. We heeded almost none of them. The result is a pandemic on a scale never before seen in our lifetimes. In this captivating, authoritative, and eye-opening book, science journalist Debora MacKenzie lays out the full story of how and why it happened: the previous viruses that should have prepared us, the shocking public health failures that paved the way, the failure to contain the outbreak, and most importantly, what we must do to prevent future pandemics. Debora MacKenzie has been reporting on emerging diseases for more than three decades, and she draws on that experience to explain how COVID-19 went from a potentially manageable outbreak to a global pandemic. Offering a compelling history of the most significant recent outbreaks, including SARS, MERS, H1N1, Zika, and Ebola, she gives a crash course in Epidemiology 101--how viruses spread and how pandemics end—and outlines the lessons we failed to learn from each past crisis. In vivid detail, she takes us through the arrival and spread of COVID-19, making clear the steps that governments knew they could have taken to prevent or at least prepare for this. Looking forward, MacKenzie makes a bold, optimistic argument: this pandemic might finally galvanize the world to take viruses seriously. Fighting this pandemic and preventing the next one will take political action of all kinds, globally, from governments, the scientific community, and individuals—but it is possible. No one has yet brought together our knowledge of COVID-19 in a comprehensive, informative, and accessible way. But that story can already be told, and Debora MacKenzie's urgent telling is required reading for these times and beyond. It is too early to say where the COVID-19 pandemic will go, but it is past time to talk about what went wrong and how we can do better.