Global Spread And Prediction Of Covid 19 Pandemic
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Global Spread And Prediction Of Covid 19 Pandemic
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Author : Jianping Huang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-03-11
Global Spread And Prediction Of Covid 19 Pandemic written by Jianping Huang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Medical categories.
Covid 19 And Migration Understanding The Pandemic And Human Mobility
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Author : Ibrahim Sirkeci
language : en
Publisher: Transnational Press London
Release Date :
Covid 19 And Migration Understanding The Pandemic And Human Mobility written by Ibrahim Sirkeci and has been published by Transnational Press London this book supported file pdf, txt, epub, kindle and other format this book has been release on with Social Science categories.
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 : Adarsh Garg
language : en
Publisher: CRC Press
Release Date : 2022-08-04
Global Healthcare Disasters written by Adarsh Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Technology & Engineering categories.
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.
Covid 19 Prediction Decision Making And Its Impacts
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Author : K.C. Santosh
language : en
Publisher: Springer Nature
Release Date : 2020-12-11
Covid 19 Prediction Decision Making And Its Impacts written by K.C. Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Technology & Engineering categories.
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.
Intelligent Modeling Prediction And Diagnosis From Epidemiological Data
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Author : Siddhartha Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2021-11-22
Intelligent Modeling Prediction And Diagnosis From Epidemiological Data written by Siddhartha Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.
Predictive And Preventive Measures For Covid 19 Pandemic
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Author : Praveen Kumar Khosla
language : en
Publisher: Springer Nature
Release Date : 2021-01-22
Predictive And Preventive Measures For Covid 19 Pandemic written by Praveen Kumar Khosla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-22 with Technology & Engineering categories.
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.
Mathematical Analysis For Transmission Of Covid 19
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Author : Nita H. Shah
language : en
Publisher: Springer Nature
Release Date : 2021-04-01
Mathematical Analysis For Transmission Of Covid 19 written by Nita H. Shah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-01 with Technology & Engineering categories.
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 Tackling Global Pandemics Through Scientific And Social Tools
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Author : S. Chatterjee
language : en
Publisher: Academic Press
Release Date : 2021-11-09
Covid 19 Tackling Global Pandemics Through Scientific And Social Tools written by S. Chatterjee and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-09 with Science categories.
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
Leveraging Artificial Intelligence In Global Epidemics
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Author : Le Gruenwald
language : en
Publisher: Academic Press
Release Date : 2021-07-28
Leveraging Artificial Intelligence In Global Epidemics written by Le Gruenwald and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-28 with Science categories.
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
Computational Intelligence Methods In Covid 19 Surveillance Prevention Prediction And Diagnosis
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2020-10-16
Computational Intelligence Methods In Covid 19 Surveillance Prevention Prediction And Diagnosis written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Technology & Engineering categories.
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.