Global Spread and Prediction of COVID-19 Pandemic

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832545858
Total Pages : 266 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Global Spread and Prediction of COVID-19 Pandemic by : Jianping Huang

Download or read book Global Spread and Prediction of COVID-19 Pandemic written by Jianping Huang and published by Frontiers Media SA. This book was released on 2024-03-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predictive and Preventive Measures for Covid-19 Pandemic

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Author :
Publisher : Springer Nature
ISBN 13 : 9813342366
Total Pages : 335 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Predictive and Preventive Measures for Covid-19 Pandemic by : Praveen Kumar Khosla

Download or read book Predictive and Preventive Measures for Covid-19 Pandemic written by Praveen Kumar Khosla and published by Springer Nature. This book was released on 2021-01-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

COVID-19: Prediction, Decision-Making, and its Impacts

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Author :
Publisher : Springer Nature
ISBN 13 : 9811596824
Total Pages : 137 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis COVID-19: Prediction, Decision-Making, and its Impacts by : K.C. Santosh

Download or read book COVID-19: Prediction, Decision-Making, and its Impacts written by K.C. Santosh and published by Springer Nature. This book was released on 2020-12-11 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Understanding The Origin And Global Spread Of Covid-19

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Author :
Publisher : World Scientific
ISBN 13 : 9811259097
Total Pages : 302 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Understanding The Origin And Global Spread Of Covid-19 by : Nalin Chandra Wickramasinghe

Download or read book Understanding The Origin And Global Spread Of Covid-19 written by Nalin Chandra Wickramasinghe and published by World Scientific. This book was released on 2022-06-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Academic Press
ISBN 13 : 032390002X
Total Pages : 320 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Leveraging Artificial Intelligence in Global Epidemics by : Le Gruenwald

Download or read book Leveraging Artificial Intelligence in Global Epidemics written by Le Gruenwald and published by Academic Press. This book was released on 2021-07-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Uncontrolled Spread

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Publisher : HarperCollins
ISBN 13 : 0063080028
Total Pages : 550 pages
Book Rating : 4.0/5 (63 download)

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Book Synopsis Uncontrolled Spread by : Scott Gottlieb

Download or read book Uncontrolled Spread written by Scott Gottlieb and published by HarperCollins. This book was released on 2021-09-21 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER “Uncontrolled Spread is everything you’d hope: a smart and insightful account of what happened and, currently, the best guide to what needs to be done to avoid a future pandemic." —Wall Street Journal “Informative and well paced.”—The Guardian “An intense ride through the pandemic with chilling details of what really happened. It is also sprinkled with notes of true wisdom that may help all of us better prepare for the future.”—Sanjay Gupta, MD, chief medical correspondent, CNN Physician and former FDA commissioner Scott Gottlieb asks: Has America’s COVID-19 catastrophe taught us anything? In Uncontrolled Spread, he shows how the coronavirus and its variants were able to trounce America’s pandemic preparations, and he outlines the steps that must be taken to protect against the next outbreak. As the pandemic unfolded, Gottlieb was in regular contact with all the key players in Congress, the Trump administration, and the drug and diagnostic industries. He provides an inside account of how level after level of American government crumbled as the COVID-19 crisis advanced. A system-wide failure across government institutions left the nation blind to the threat, and unable to mount an effective response. We’d prepared for the wrong virus. We failed to identify the contagion early enough and became overly reliant on costly and sometimes divisive tactics that couldn’t fully slow the spread. We never considered asymptomatic transmission and we assumed people would follow public health guidance. Key bureaucracies like the CDC were hidebound and outmatched. Weak political leadership aggravated these woes. We didn’t view a public health disaster as a threat to our national security. Many of the woes sprung from the CDC, which has very little real-time reporting capability to inform us of Covid’s twists and turns or assess our defenses. The agency lacked an operational capacity and mindset to mobilize the kind of national response that was needed. To guard against future pandemic risks, we must remake the CDC and properly equip it to better confront crises. We must also get our intelligence services more engaged in the global public health mission, to gather information and uncover emerging risks before they hit our shores so we can head them off. For this role, our clandestine agencies have tools and capabilities that the CDC lacks. Uncontrolled Spread argues we must fix our systems and prepare for a deadlier coronavirus variant, a flu pandemic, or whatever else nature -- or those wishing us harm -- may threaten us with. Gottlieb outlines policies and investments that are essential to prepare the United States and the world for future threats.

COVID-19: Tackling Global Pandemics through Scientific and Social Tools

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Author :
Publisher : Academic Press
ISBN 13 : 0323858090
Total Pages : 196 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis COVID-19: Tackling Global Pandemics through Scientific and Social Tools by : S. Chatterjee

Download or read book COVID-19: Tackling Global Pandemics through Scientific and Social Tools written by S. Chatterjee and published by Academic Press. This book was released on 2021-11-09 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. It was first identified in December 2019 in Wuhan, Hubei, China, and has resulted in an ongoing pandemic. As of July 2020, more than 13.8 million cases have been reported across 188 countries and territories, resulting in more than 590,000 deaths. COVID 19: Tackling Global Pandemics through Scientific and Social Tools, is an amalgamation of scientific and social perspective. The book provides a selection of handpicked themes and topics relevant to COVID 19 pandemic across various disciplines delivered by experts in the domain. The Opinion section is a unique component of this book discussing important issues concerning the COVID 19. COVID 19: Tackling Global Pandemics through Scientific and Social Tools serves as single source of information ranging from clinical research to social science and even biotechnology to engineering in a single platform. But there is scarcity of a quality document that summarizes various aspects of a single event. Therefore, the purpose of this book is to provide scientific and social information on COVID 19 to all sectors of readers i.e. from students to researchers and even policy makers Divided into 13 chapters, the book begins with an in-depth introduction to the highly infectious disease COVID19. Followed by chapters on interventions, vaccine development, prevention and control COVID 19: Tackling Global Pandemics through Scientific and Social Tools also provides insights to current global situation, mathematical models and social factors like distancing and hand-washing. The book closes with a review on the use of artificial intelligence and engineered intervention. All are presented in a practical short format, making this volume a valuable resource for very broad academic audience. Includes updates and guidelines of WHO Serves as a single platform of information and contributions on COVID-19, from the epidemiological aspects to the biotechnology Provides directions and constructive criticism in the form of opinion by experts in the field

COVID-19 and Migration: Understanding the Pandemic and Human Mobility

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Author :
Publisher : Transnational Press London
ISBN 13 : 1912997606
Total Pages : 213 pages
Book Rating : 4.9/5 (129 download)

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Book Synopsis COVID-19 and Migration: Understanding the Pandemic and Human Mobility by : Ibrahim Sirkeci

Download or read book COVID-19 and Migration: Understanding the Pandemic and Human Mobility written by Ibrahim Sirkeci and published by Transnational Press London. This book was released on with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has disrupted every domain of life. Migration and human mobility in general are not exceptions. Since March 2020, researchers, policy makers and many others have channelled their efforts to understand this new coronavirus, its impact and prospects. Many scholars were thinking and writing on the pandemic from its onset and many blog essays quickly appeared. One of the earliest peer-reviewed research articles Sirkeci and Yucesahin (2020) is reproduced here. This article and its focus on mobility and travel data showed that it was possible to predict the spatial spread and concentration of COVID-19 cases. Not only was this finding crucial to developing appropriate policies and strategies to counter the spread of the virus, it reminded us that the pandemic is a social disease and not simply a biological threat. The contributions in this book should be considered in this regard tackling the social and policy aspects as we leave the biological and medical side to the experts. | “Covid-19 introduces new uncertainties for everyone. For agriculture, the longer term effects of the pandemic include faster mechanization, more guest workers, and rising imports. Responses are likely to vary by commodity and be shaped by government policies.” – Philip L Martin, Professor Emeritus, University of California, Davis, USA “The COVID-19 pandemic reminds us of just how many people across the world rely on mobility for their livelihood: taxi drivers, delivery workers, street vendors, maintenance technicians of long-distance operation systems, all employees in the hospitality sector… not forgetting the most vulnerable at this time, the homeless, beggars and street kids, especially in the global South, who have to move from place to place to get food, to find a place to sleep through the night, and to run away from police.” – Biao Xiang, Professor of Anthropology, University of Oxford, UK Contents: CHAPTER 1. INTRODUCTION – Ibrahim Sirkeci and Jeffrey H. Cohen | CHAPTER 2. COVID-19 AND INTERNATIONAL LABOUR MIGRATION IN AGRICULTURE – Philip L. Martin | CHAPTER 3. HOSTAGES OF MOBILITY: TRANSPORT, SECURITIZATION AND STRESS DURING PANDEMIC – Biao Xiang | CHAPTER 4. MODELING AND PREDICTION OF THE 2019 CORONAVIRUS DISEASE SPREADING IN CHINA INCORPORATING HUMAN MIGRATION DATA – Choujun Zhan, Chi Kong Tse, Yuxia Fu, Zhikang Lai, Haijun Zhang | CHAPTER 5. THE STUDY OF THE EFFECTS OF MOBILITY TRENDS ON THE STATISTICAL MODELS OF THE COVID-19 VIRUS SPREADING – David Gondauri and Mikheil Batiashvili | CHAPTER 6. HUMAN MOBILITY, COVID-19 AND POLICY RESPONSES: THE RIGHTS AND CLAIMS-MAKING OF MIGRANT DOMESTIC WORKERS – Smriti Rao, Sarah Gammage, Julia Arnold and Elizabeth Anderson | CHAPTER 7. ‘UNWANTED BUT NEEDED’ IN SOUTH AFRICA: POST PANDEMIC IMAGINATIONS ON BLACK IMMIGRANT ENTREPRENEURS OWNING SPAZA SHOPS – Sadhana Manik | CHAPTER 8. LABOUR MARKET AND MIGRATION OUTCOMES OF THE COVID-19 OUTBREAK IN MEXICO – Carla Pederzini Villarreal and Liliana Meza González | CHAPTER 9. REFLECTIONS ON COLLECTIVE INSECURITY AND VIRTUAL RESISTANCE IN THE TIME OF COVID-19 IN MALAYSIA – Linda Alfarero Lumayag, Teresita C. Del Rosario and Frances S. Sutton | CHAPTER 10. FACING A PANDEMIC AWAY FROM HOME: COVID-19 AND THE BRAZILIAN IMMIGRANTS IN PORTUGAL – Patricia Posch and Rosa Cabecinhas | CHAPTER 11. MIGRATION AND IMMIGRATION: UGANDA AND THE COVID-19 PANDEMIC – Agnes Igoye | CHAPTER 12. IMPACT OF COVID-19 HUMAN MOBILITY RESTRICTIONS ON THE MIGRANT ORIGIN POPULATION IN FINLAND – Natalia Skogberg, Idil Hussein and Anu E Castaneda | CHAPTER 13. REMITTANCES FROM MEXICAN MIGRANTS IN THE UNITED STATES DURING COVID-19 – Rodolfo García Zamora and Selene Gaspar Olvera | CHAPTER 14. THE COVID-19, MIGRATION AND LIVELIHOOD IN INDIA: CHALLENGES AND POLICY ISSUES – R.B. Bhagat, Reshmi R.S., Harihar Sahoo, Archana K. Roy, Dipti Govil | CHAPTER 15. THE FUTURE OF MOBILITY IN A POST PANDEMIC WORLD: FORCED MIGRATION AND HEALTH – Monette Zard and Ling San Lau | CHAPTER 16. MULTILATERALISM FOR MOBILITY: INTERAGENCY COOPERATION IN A POST-PANDEMIC WORLD – Daniel Naujoks | CHAPTER 17. COVID-19, REMITTANCES AND REPERCUSSIONS – Melissa Siegel

Global Healthcare Disasters

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Author :
Publisher : CRC Press
ISBN 13 : 1000572811
Total Pages : 207 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Global Healthcare Disasters by : Adarsh Garg

Download or read book Global Healthcare Disasters written by Adarsh Garg and published by CRC Press. This book was released on 2022-08-04 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent COVID-19 global pandemic exemplifies the need for efficient, reliable, and real-time tools and technology for forecasting and predicting healthcare disasters as well as for helping to restrict the subsequent spread and fatality of deadly diseases. This new book discusses many of the innovative and state-of-the-art tools and technology that can help meet the challenges of predicting such disasters. The chapters offer a plethora of useful information for designing healthcare disaster management systems that can be dynamically configurable with implementation of today’s modern technology, such as cloud computing, artificial intelligence, IoT, data analytics, and machine learning. These can increase effectiveness in remote sensing technologies, data analytics, data storage, communication networks, geographic information system (GIS), and global positioning System (GPS), to name a few. This book discusses mathematical models using graph-based approaches for analyzing dynamic, heterogeneous, and unstructured data for applications in epidemiology. The authors also address the use of mobile applications for communication efforts and remote monitoring for gauging health and the effectiveness of preventive healthcare measures. The chapters discuss influencing factors that directly or indirectly target public health infrastructure that can lead to or exacerbate global health crises, such as extreme climate changes, refugee health crises, terrorism and cyberterrorism, and technology-related incidents. The book further looks at efficient methods to analyze disasters and how to deliver healthcare in areas of conflict and crisis. This important volume, Global Healthcare Disasters: Predicting the Unpredictable with Emerging Technologies, provides a bounty of useful information for health professionals, academicians, researchers, governmental agencies, and policymakers across the world to predict, mitigate, and manage global health disaster with emerging technologies.

Mathematical Analysis for Transmission of COVID-19

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Author :
Publisher : Springer Nature
ISBN 13 : 9813362642
Total Pages : 366 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Mathematical Analysis for Transmission of COVID-19 by : Nita H. Shah

Download or read book Mathematical Analysis for Transmission of COVID-19 written by Nita H. Shah and published by Springer Nature. This book was released on 2021-04-01 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

COVID-19 Global Lessons Learned: Interactive Case Studies

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Author :
Publisher : Jones & Bartlett Learning
ISBN 13 : 1284244601
Total Pages : 111 pages
Book Rating : 4.2/5 (842 download)

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Book Synopsis COVID-19 Global Lessons Learned: Interactive Case Studies by : Richard Riegelman

Download or read book COVID-19 Global Lessons Learned: Interactive Case Studies written by Richard Riegelman and published by Jones & Bartlett Learning. This book was released on 2020-12-03 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Preparing for the Next Global Outbreak

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Publisher : JHU Press
ISBN 13 : 142144576X
Total Pages : 393 pages
Book Rating : 4.4/5 (214 download)

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Book Synopsis Preparing for the Next Global Outbreak by : David C. Pate

Download or read book Preparing for the Next Global Outbreak written by David C. Pate and published by JHU Press. This book was released on 2023-04-18 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical experts on the frontlines of the COVID-19 pandemic provide recommendations for governments, health agencies, and schools to prepare for the next outbreak. Another pandemic is coming. The type, severity, and spread are unknown, but governments, public health agencies, schools, and all other organizations must be prepared in order to minimize damage and save lives. We need to identify the lessons learned from our successes and failures during the COVID-19 pandemic to plan better for our future response. In Preparing for the Next Global Outbreak, David C. Pate, MD, JD, and Ted Epperly, MD, combine their decades of experience as doctors and health care leaders who have led their organizations through numerous public health challenges to create an extensive list of practical recommendations for a variety of organizations and agencies to better prepare for the next pandemic. They worked together in the fight against COVID-19 and the misinformation that devastated so many communities across the country. From the exam room to the public health board meeting room to the state capitol, Pate and Epperly use their expertise to craft 117 specific recommendations that organizations and governments can implement now in order to better prepare for the future. They divide these recommendations into checklists specific to different contexts: schools, hospitals, public health agencies, state governments, and the federal government. Public health officials, medical practitioners, state and local officials, school board members, disaster management leaders, and anyone with a stake in preparing their communities against future outbreaks will benefit from the recommendations Pate and Epperly outline. This is the first book to apply lessons learned in real time during a pandemic while chronicling which responses did and did not work and why. The authors examine the global, national, and local responses to COVID-19 and illustrate how we can learn from the mistakes of this pandemic so as not to repeat them during the next.

Third Congress on Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9811993793
Total Pages : 850 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Third Congress on Intelligent Systems by : Sandeep Kumar

Download or read book Third Congress on Intelligent Systems written by Sandeep Kumar and published by Springer Nature. This book was released on 2023-05-18 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Stopping the Next Pandemic

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Author :
Publisher : Hachette Books
ISBN 13 : 0306924234
Total Pages : 300 pages
Book Rating : 4.3/5 (69 download)

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Book Synopsis Stopping the Next Pandemic by : Debora MacKenzie

Download or read book Stopping the Next Pandemic written by Debora MacKenzie and published by Hachette Books. This book was released on 2020-06-01 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

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Author :
Publisher : Springer Nature
ISBN 13 : 9811585342
Total Pages : 436 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by : Khalid Raza

Download or read book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis written by Khalid Raza and published by Springer Nature. This book was released on 2020-10-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Preparedness for Future Pandemics

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Author :
Publisher : Springer Nature
ISBN 13 : 9819932017
Total Pages : 202 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Preparedness for Future Pandemics by : Rajeev Varshney

Download or read book Preparedness for Future Pandemics written by Rajeev Varshney and published by Springer Nature. This book was released on 2023-11-12 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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".

Impact of AI and Data Science in Response to Coronavirus Pandemic

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Author :
Publisher : Springer Nature
ISBN 13 : 981162786X
Total Pages : 324 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.